Added model descriptions to localization process
This commit is contained in:
jeffser
parent
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@ -4,3 +4,4 @@ data/com.jeffser.Alpaca.gschema.xml
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src/main.py
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src/window.py
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src/window.ui
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src/available_models_descriptions.py
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509
po/alpaca.pot
509
po/alpaca.pot
@ -8,13 +8,13 @@ msgid ""
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msgstr ""
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"Project-Id-Version: PACKAGE VERSION\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2024-07-07 16:55-0600\n"
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"POT-Creation-Date: 2024-07-07 17:40-0600\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Language-Team: LANGUAGE <LL@li.org>\n"
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"Language: \n"
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"MIME-Version: 1.0\n"
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"Content-Type: text/plain; charset=CHARSET\n"
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"Content-Type: text/plain; charset=UTF-8\n"
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"Content-Transfer-Encoding: 8bit\n"
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#: data/com.jeffser.Alpaca.desktop.in:3
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@ -1066,3 +1066,508 @@ msgstr ""
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#: src/window.ui:1121
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msgid "Insert new line"
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msgstr ""
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#: src/available_models_descriptions.py:2
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msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
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msgstr ""
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#: src/available_models_descriptions.py:3
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msgid "Meta Llama 3: The most capable openly available LLM to date"
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msgstr ""
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#: src/available_models_descriptions.py:4
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msgid "Qwen2 is a new series of large language models from Alibaba group"
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msgstr ""
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#: src/available_models_descriptions.py:5
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msgid ""
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"An open-source Mixture-of-Experts code language model that achieves "
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"performance comparable to GPT4-Turbo in code-specific tasks."
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msgstr ""
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#: src/available_models_descriptions.py:6
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msgid ""
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"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
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"open models by Microsoft."
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msgstr ""
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#: src/available_models_descriptions.py:7
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msgid ""
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"Aya 23, released by Cohere, is a new family of state-of-the-art, "
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"multilingual models that support 23 languages."
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msgstr ""
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#: src/available_models_descriptions.py:8
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msgid "The 7B model released by Mistral AI, updated to version 0.3."
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msgstr ""
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#: src/available_models_descriptions.py:9
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msgid ""
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"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
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"8x7b and 8x22b parameter sizes."
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msgstr ""
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#: src/available_models_descriptions.py:10
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msgid ""
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"CodeGemma is a collection of powerful, lightweight models that can perform a "
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"variety of coding tasks like fill-in-the-middle code completion, code "
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"generation, natural language understanding, mathematical reasoning, and "
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"instruction following."
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msgstr ""
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#: src/available_models_descriptions.py:11
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msgid ""
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"Command R is a Large Language Model optimized for conversational interaction "
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"and long context tasks."
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msgstr ""
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#: src/available_models_descriptions.py:12
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msgid ""
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"Command R+ is a powerful, scalable large language model purpose-built to "
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"excel at real-world enterprise use cases."
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msgstr ""
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#: src/available_models_descriptions.py:13
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msgid ""
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"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
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"a vision encoder and Vicuna for general-purpose visual and language "
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"understanding. Updated to version 1.6."
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msgstr ""
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#: src/available_models_descriptions.py:14
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msgid ""
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"Gemma is a family of lightweight, state-of-the-art open models built by "
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"Google DeepMind. Updated to version 1.1"
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msgstr ""
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#: src/available_models_descriptions.py:15
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msgid ""
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"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
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"0.5B to 110B parameters"
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msgstr ""
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#: src/available_models_descriptions.py:16
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msgid ""
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"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
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"parameters."
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msgstr ""
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#: src/available_models_descriptions.py:17
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msgid ""
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"A large language model that can use text prompts to generate and discuss "
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"code."
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msgstr ""
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#: src/available_models_descriptions.py:18
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msgid ""
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"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
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"experts models that excels at coding tasks. Created by Eric Hartford."
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msgstr ""
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#: src/available_models_descriptions.py:19
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msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
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msgstr ""
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#: src/available_models_descriptions.py:20
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msgid ""
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"DeepSeek Coder is a capable coding model trained on two trillion code and "
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"natural language tokens."
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msgstr ""
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#: src/available_models_descriptions.py:21
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msgid ""
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"A high-performing open embedding model with a large token context window."
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msgstr ""
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#: src/available_models_descriptions.py:22
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msgid ""
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"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
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"outstanding reasoning and language understanding capabilities."
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msgstr ""
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#: src/available_models_descriptions.py:23
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msgid ""
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"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
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"Updated to version 2.8."
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msgstr ""
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#: src/available_models_descriptions.py:24
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msgid ""
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"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
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"Mistral 7B model using the OpenOrca dataset."
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msgstr ""
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#: src/available_models_descriptions.py:25
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msgid ""
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"A general-purpose model ranging from 3 billion parameters to 70 billion, "
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"suitable for entry-level hardware."
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msgstr ""
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#: src/available_models_descriptions.py:26
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msgid "State-of-the-art large embedding model from mixedbread.ai"
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msgstr ""
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#: src/available_models_descriptions.py:27
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msgid ""
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"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
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"Llama 3 that has a variety of instruction, conversational, and coding skills."
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msgstr ""
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#: src/available_models_descriptions.py:28
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msgid ""
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"StarCoder2 is the next generation of transparently trained open code LLMs "
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"that comes in three sizes: 3B, 7B and 15B parameters."
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msgstr ""
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#: src/available_models_descriptions.py:29
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msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
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msgstr ""
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#: src/available_models_descriptions.py:30
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msgid ""
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"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
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"that are trained to act as helpful assistants."
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msgstr ""
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#: src/available_models_descriptions.py:31
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msgid "Yi 1.5 is a high-performing, bilingual language model."
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msgstr ""
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#: src/available_models_descriptions.py:32
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msgid ""
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"The powerful family of models by Nous Research that excels at scientific "
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"discussion and coding tasks."
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msgstr ""
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#: src/available_models_descriptions.py:33
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msgid ""
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"General use chat model based on Llama and Llama 2 with 2K to 16K context "
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"sizes."
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msgstr ""
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#: src/available_models_descriptions.py:34
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msgid ""
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"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
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"Llama 2 uncensored by Eric Hartford."
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msgstr ""
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#: src/available_models_descriptions.py:35
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msgid ""
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"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
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"model on 3 trillion tokens."
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msgstr ""
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#: src/available_models_descriptions.py:36
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msgid ""
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"State of the art large language model from Microsoft AI with improved "
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"performance on complex chat, multilingual, reasoning and agent use cases."
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msgstr ""
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#: src/available_models_descriptions.py:37
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msgid ""
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"StarCoder is a code generation model trained on 80+ programming languages."
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msgstr ""
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#: src/available_models_descriptions.py:38
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msgid ""
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"Codestral is Mistral AI’s first-ever code model designed for code generation "
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"tasks."
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msgstr ""
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#: src/available_models_descriptions.py:39
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msgid ""
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"A family of open-source models trained on a wide variety of data, surpassing "
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"ChatGPT on various benchmarks. Updated to version 3.5-0106."
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msgstr ""
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#: src/available_models_descriptions.py:40
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msgid ""
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"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
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"by Eric Hartford and based on TinyLlama."
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msgstr ""
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#: src/available_models_descriptions.py:41
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msgid ""
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"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
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"open datasets."
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msgstr ""
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#: src/available_models_descriptions.py:42
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msgid "State-of-the-art code generation model"
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msgstr ""
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#: src/available_models_descriptions.py:43
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msgid ""
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"Stable Code 3B is a coding model with instruct and code completion variants "
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"on par with models such as Code Llama 7B that are 2.5x larger."
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msgstr ""
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#: src/available_models_descriptions.py:44
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msgid ""
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"A fine-tuned model based on Mistral with good coverage of domain and "
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"language."
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msgstr ""
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#: src/available_models_descriptions.py:45
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msgid "Model focused on math and logic problems"
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msgstr ""
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#: src/available_models_descriptions.py:46
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msgid ""
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"CodeQwen1.5 is a large language model pretrained on a large amount of code "
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"data."
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msgstr ""
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#: src/available_models_descriptions.py:47
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msgid "Code generation model based on Code Llama."
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msgstr ""
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#: src/available_models_descriptions.py:48
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msgid ""
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"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
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"trained on multilingual data in English, Spanish, German, Italian, French, "
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"Portuguese, and Dutch."
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msgstr ""
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#: src/available_models_descriptions.py:49
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msgid ""
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"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
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"coding, based on StarCoder2."
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msgstr ""
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#: src/available_models_descriptions.py:50
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msgid "Embedding models on very large sentence level datasets."
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msgstr ""
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#: src/available_models_descriptions.py:51
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msgid "General use models based on Llama and Llama 2 from Nous Research."
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msgstr ""
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#: src/available_models_descriptions.py:52
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msgid ""
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"Starling is a large language model trained by reinforcement learning from AI "
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"feedback focused on improving chatbot helpfulness."
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msgstr ""
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#: src/available_models_descriptions.py:53
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msgid ""
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"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
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"generation tasks"
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msgstr ""
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#: src/available_models_descriptions.py:54
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msgid ""
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"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
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"Meta's Llama 2 models. The model is designed to excel particularly in "
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"reasoning."
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msgstr ""
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#: src/available_models_descriptions.py:55
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msgid ""
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"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
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msgstr ""
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#: src/available_models_descriptions.py:56
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msgid "An advanced language model crafted with 2 trillion bilingual tokens."
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msgstr ""
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#: src/available_models_descriptions.py:57
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msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
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msgstr ""
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#: src/available_models_descriptions.py:58
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msgid ""
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"A model from NVIDIA based on Llama 3 that excels at conversational question "
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"answering (QA) and retrieval-augmented generation (RAG)."
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msgstr ""
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#: src/available_models_descriptions.py:59
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msgid ""
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"A compact, yet powerful 10.7B large language model designed for single-turn "
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"conversation."
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msgstr ""
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#: src/available_models_descriptions.py:60
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msgid ""
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"Conversational model based on Llama 2 that performs competitively on various "
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"benchmarks."
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msgstr ""
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#: src/available_models_descriptions.py:61
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msgid "A family of open foundation models by IBM for Code Intelligence"
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msgstr ""
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#: src/available_models_descriptions.py:62
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msgid ""
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"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
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"model by Microsoft Research."
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msgstr ""
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#: src/available_models_descriptions.py:63
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msgid "General use model based on Llama 2."
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msgstr ""
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#: src/available_models_descriptions.py:64
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msgid ""
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"A companion assistant trained in philosophy, psychology, and personal "
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"relationships. Based on Mistral."
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msgstr ""
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#: src/available_models_descriptions.py:65
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msgid ""
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"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
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"Free Willy."
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msgstr ""
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#: src/available_models_descriptions.py:66
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msgid ""
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"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
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"augmented with the LLaVA architecture."
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msgstr ""
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#: src/available_models_descriptions.py:67
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msgid ""
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"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
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"benchmarks."
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msgstr ""
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#: src/available_models_descriptions.py:68
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msgid "Uncensored version of Wizard LM model"
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msgstr ""
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#: src/available_models_descriptions.py:69
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msgid ""
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"Fine-tuned Llama 2 model to answer medical questions based on an open source "
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"medical dataset."
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msgstr ""
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#: src/available_models_descriptions.py:70
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msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
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msgstr ""
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#: src/available_models_descriptions.py:71
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msgid "An extension of Mistral to support context windows of 64K or 128K."
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msgstr ""
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#: src/available_models_descriptions.py:72
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msgid ""
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"A suite of text embedding models by Snowflake, optimized for performance."
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msgstr ""
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#: src/available_models_descriptions.py:73
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msgid ""
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"An expansion of Llama 2 that specializes in integrating both general "
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"language understanding and domain-specific knowledge, particularly in "
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"programming and mathematics."
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msgstr ""
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#: src/available_models_descriptions.py:74
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msgid "Great code generation model based on Llama2."
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msgstr ""
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#: src/available_models_descriptions.py:75
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msgid ""
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"Open-source medical large language model adapted from Llama 2 to the medical "
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"domain."
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msgstr ""
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#: src/available_models_descriptions.py:76
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msgid ""
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"moondream2 is a small vision language model designed to run efficiently on "
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"edge devices."
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msgstr ""
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#: src/available_models_descriptions.py:77
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msgid "Uncensored Llama2 based model with support for a 16K context window."
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msgstr ""
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#: src/available_models_descriptions.py:78
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msgid ""
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"Nexus Raven is a 13B instruction tuned model for function calling tasks."
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msgstr ""
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#: src/available_models_descriptions.py:79
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msgid ""
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"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
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"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
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"with open-source code snippets."
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msgstr ""
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#: src/available_models_descriptions.py:80
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msgid "A strong, economical, and efficient Mixture-of-Experts language model."
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msgstr ""
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#: src/available_models_descriptions.py:81
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msgid ""
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"A lightweight chat model allowing accurate, and responsive output without "
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"requiring high-end hardware."
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msgstr ""
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#: src/available_models_descriptions.py:82
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msgid ""
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"A high-performing code instruct model created by merging two existing code "
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"models."
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msgstr ""
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#: src/available_models_descriptions.py:83
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msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
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msgstr ""
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#: src/available_models_descriptions.py:84
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msgid ""
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"MistralLite is a fine-tuned model based on Mistral with enhanced "
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"capabilities of processing long contexts."
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msgstr ""
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#: src/available_models_descriptions.py:85
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msgid ""
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"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
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"MelodysDreamj."
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msgstr ""
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#: src/available_models_descriptions.py:86
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msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
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msgstr ""
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#: src/available_models_descriptions.py:87
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msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
507
po/bn.po
507
po/bn.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:07-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-07-07 15:12-0600\n"
|
||||
"Last-Translator: (YOUR NAME) <(YOUR EMAIL OPTIONAL)>\n"
|
||||
"Language-Team: Bengali\n"
|
||||
@ -1108,6 +1108,511 @@ msgstr "Paste"
|
||||
msgid "Insert new line"
|
||||
msgstr "Insert new line"
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#~ msgid "Message Received"
|
||||
#~ msgstr "Message Received"
|
||||
|
||||
|
||||
183
po/bn.po~
183
po/bn.po~
@ -6,8 +6,8 @@
|
||||
msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: https://github.com/Jeffser/Alpaca\n"
|
||||
"POT-Creation-Date: 2024-07-02 18:22-0600\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:07-0600\n"
|
||||
"PO-Revision-Date: 2024-07-07 15:12-0600\n"
|
||||
"Last-Translator: (YOUR NAME) <(YOUR EMAIL OPTIONAL)>\n"
|
||||
"Language-Team: Bengali\n"
|
||||
@ -65,7 +65,7 @@ msgstr "Plain text documents recognition"
|
||||
msgid "Import and export chats"
|
||||
msgstr "Import and export chats"
|
||||
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:853
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:860
|
||||
msgid "Disclaimer"
|
||||
msgstr "Disclaimer"
|
||||
|
||||
@ -667,7 +667,7 @@ msgstr "0.1.1 Stable Release"
|
||||
msgid "This is the first public version of Alpaca"
|
||||
msgstr "This is the first public version of Alpaca"
|
||||
|
||||
#: src/window.py:58 src/window.py:1053 src/window.py:1115 src/window.ui:41
|
||||
#: src/window.py:58 src/window.py:1083 src/window.py:1145 src/window.ui:41
|
||||
msgid "New Chat"
|
||||
msgstr "New Chat"
|
||||
|
||||
@ -760,67 +760,67 @@ msgstr "Chat exported successfully"
|
||||
msgid "Chat imported successfully"
|
||||
msgstr "Chat imported successfully"
|
||||
|
||||
#: src/window.py:278
|
||||
#: src/window.py:280
|
||||
msgid "Close"
|
||||
msgstr "Close"
|
||||
|
||||
#: src/window.py:279 src/window.ui:806
|
||||
#: src/window.py:281 src/window.ui:813
|
||||
msgid "Next"
|
||||
msgstr "Next"
|
||||
|
||||
#: src/window.py:329
|
||||
#: src/window.py:332
|
||||
msgid "Pulling in the background..."
|
||||
msgstr "Pulling in the background..."
|
||||
|
||||
#: src/window.py:381
|
||||
#: src/window.py:384
|
||||
msgid "Stop Creating '{}'"
|
||||
msgstr "Stop Creating '{}'"
|
||||
|
||||
#: src/window.py:418
|
||||
#: src/window.py:421
|
||||
msgid "image"
|
||||
msgstr "image"
|
||||
|
||||
#: src/window.py:588
|
||||
#: src/window.py:593
|
||||
msgid "Remove Message"
|
||||
msgstr "Remove Message"
|
||||
|
||||
#: src/window.py:593 src/window.py:841
|
||||
#: src/window.py:598 src/window.py:869
|
||||
msgid "Copy Message"
|
||||
msgstr "Copy Message"
|
||||
|
||||
#: src/window.py:598
|
||||
#: src/window.py:603
|
||||
msgid "Edit Message"
|
||||
msgstr "Edit Message"
|
||||
|
||||
#: src/window.py:729
|
||||
#: src/window.py:661
|
||||
msgid "Missing Image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:677
|
||||
msgid "Missing image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:757
|
||||
msgid "Remove '{} ({})'"
|
||||
msgstr "Remove '{} ({})'"
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "Message Received"
|
||||
msgstr "Message Received"
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "New message from '{}'"
|
||||
msgstr "New message from '{}'"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Task Complete"
|
||||
msgstr "Task Complete"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Model '{}' pulled successfully."
|
||||
msgstr "Model '{}' pulled successfully."
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Pull Model Error"
|
||||
msgstr "Pull Model Error"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Failed to pull model '{}' due to network error."
|
||||
msgstr "Failed to pull model '{}' due to network error."
|
||||
|
||||
#: src/window.py:978
|
||||
#: src/window.py:1008
|
||||
msgid "Stop Pulling '{} ({})'"
|
||||
msgstr "Stop Pulling '{} ({})'"
|
||||
|
||||
@ -832,7 +832,7 @@ msgstr "Menu"
|
||||
msgid "Toggle Sidebar"
|
||||
msgstr "Toggle Sidebar"
|
||||
|
||||
#: src/window.ui:107 src/window.ui:595
|
||||
#: src/window.ui:107 src/window.ui:587
|
||||
msgid "Manage Models"
|
||||
msgstr "Manage Models"
|
||||
|
||||
@ -844,27 +844,27 @@ msgstr "Chat Menu"
|
||||
msgid "Attach File"
|
||||
msgstr "Attach File"
|
||||
|
||||
#: src/window.ui:238 src/window.ui:1120
|
||||
#: src/window.ui:242 src/window.ui:1127
|
||||
msgid "Send Message"
|
||||
msgstr "Send Message"
|
||||
|
||||
#: src/window.ui:286 src/window.ui:965 src/window.ui:1079
|
||||
#: src/window.ui:290 src/window.ui:972 src/window.ui:1086
|
||||
msgid "Preferences"
|
||||
msgstr "Preferences"
|
||||
|
||||
#: src/window.ui:289 src/window.ui:1057
|
||||
#: src/window.ui:293 src/window.ui:1064
|
||||
msgid "General"
|
||||
msgstr "General"
|
||||
|
||||
#: src/window.ui:297
|
||||
#: src/window.ui:299
|
||||
msgid "Use Remote Connection to Ollama"
|
||||
msgstr "Use Remote Connection to Ollama"
|
||||
|
||||
#: src/window.ui:303
|
||||
#: src/window.ui:305
|
||||
msgid "URL of Remote Instance"
|
||||
msgstr "URL of Remote Instance"
|
||||
|
||||
#: src/window.ui:310
|
||||
#: src/window.ui:312
|
||||
msgid "Bearer Token (Optional)"
|
||||
msgstr "Bearer Token (Optional)"
|
||||
|
||||
@ -872,15 +872,11 @@ msgstr "Bearer Token (Optional)"
|
||||
msgid "Run Alpaca In Background"
|
||||
msgstr "Run Alpaca In Background"
|
||||
|
||||
#: src/window.ui:331
|
||||
msgid "Model"
|
||||
msgstr "Model"
|
||||
|
||||
#: src/window.ui:341
|
||||
#: src/window.ui:333
|
||||
msgid "Temperature"
|
||||
msgstr "Temperature"
|
||||
|
||||
#: src/window.ui:342
|
||||
#: src/window.ui:334
|
||||
msgid ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
@ -888,11 +884,11 @@ msgstr ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
|
||||
#: src/window.ui:357
|
||||
#: src/window.ui:349
|
||||
msgid "Seed"
|
||||
msgstr "Seed"
|
||||
|
||||
#: src/window.ui:358
|
||||
#: src/window.ui:350
|
||||
msgid ""
|
||||
"Sets the random number seed to use for generation. Setting this to a "
|
||||
"specific number will make the model generate the same text for the same "
|
||||
@ -902,11 +898,11 @@ msgstr ""
|
||||
"specific number will make the model generate the same text for the same "
|
||||
"prompt. (Default: 0 (random))"
|
||||
|
||||
#: src/window.ui:372
|
||||
#: src/window.ui:364
|
||||
msgid "Keep Alive Time"
|
||||
msgstr "Keep Alive Time"
|
||||
|
||||
#: src/window.ui:373
|
||||
#: src/window.ui:365
|
||||
msgid ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
"request in minutes (Default: 5)"
|
||||
@ -914,15 +910,15 @@ msgstr ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
"request in minutes (Default: 5)"
|
||||
|
||||
#: src/window.ui:389
|
||||
#: src/window.ui:381
|
||||
msgid "Ollama Instance"
|
||||
msgstr "Ollama Instance"
|
||||
|
||||
#: src/window.ui:393
|
||||
#: src/window.ui:385
|
||||
msgid "Ollama Overrides"
|
||||
msgstr "Ollama Overrides"
|
||||
|
||||
#: src/window.ui:394
|
||||
#: src/window.ui:386
|
||||
msgid ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
"to the integrated instance, the instance will restart if you make changes."
|
||||
@ -930,31 +926,31 @@ msgstr ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
"to the integrated instance, the instance will restart if you make changes."
|
||||
|
||||
#: src/window.ui:477
|
||||
#: src/window.ui:469
|
||||
msgid "Create"
|
||||
msgstr "Create"
|
||||
|
||||
#: src/window.ui:490 src/window.ui:605
|
||||
#: src/window.ui:482 src/window.ui:597
|
||||
msgid "Create Model"
|
||||
msgstr "Create Model"
|
||||
|
||||
#: src/window.ui:516
|
||||
#: src/window.ui:508
|
||||
msgid "Base"
|
||||
msgstr "Base"
|
||||
|
||||
#: src/window.ui:534
|
||||
#: src/window.ui:526
|
||||
msgid "Name"
|
||||
msgstr "Name"
|
||||
|
||||
#: src/window.ui:540
|
||||
#: src/window.ui:532
|
||||
msgid "Context"
|
||||
msgstr "Context"
|
||||
|
||||
#: src/window.ui:555
|
||||
#: src/window.ui:547
|
||||
msgid "Template"
|
||||
msgstr "Template"
|
||||
|
||||
#: src/window.ui:561
|
||||
#: src/window.ui:553
|
||||
msgid ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
@ -962,39 +958,45 @@ msgstr ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
|
||||
#: src/window.ui:612
|
||||
#: src/window.ui:604
|
||||
msgid "Search Model"
|
||||
msgstr "Search Model"
|
||||
|
||||
#: src/window.ui:672
|
||||
#: src/window.ui:664
|
||||
msgid "No Models Found"
|
||||
msgstr "No Models Found"
|
||||
|
||||
#: src/window.ui:673
|
||||
#: src/window.ui:665
|
||||
msgid "Try a different search"
|
||||
msgstr "Try a different search"
|
||||
|
||||
#: src/window.ui:738
|
||||
#: src/window.ui:708
|
||||
msgid ""
|
||||
"By downloading this model you accept the license agreement available on the "
|
||||
"model's website."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:745
|
||||
msgid "Open with Default App"
|
||||
msgstr "Open with Default App"
|
||||
|
||||
#: src/window.ui:790
|
||||
#: src/window.ui:797
|
||||
msgid "Previous"
|
||||
msgstr "Previous"
|
||||
|
||||
#: src/window.ui:833
|
||||
#: src/window.ui:840
|
||||
msgid "Welcome to Alpaca"
|
||||
msgstr "Welcome to Alpaca"
|
||||
|
||||
#: src/window.ui:834
|
||||
#: src/window.ui:841
|
||||
msgid "Powered by Ollama"
|
||||
msgstr "Powered by Ollama"
|
||||
|
||||
#: src/window.ui:837
|
||||
#: src/window.ui:844
|
||||
msgid "Ollama Website"
|
||||
msgstr "Ollama Website"
|
||||
|
||||
#: src/window.ui:854
|
||||
#: src/window.ui:861
|
||||
msgid ""
|
||||
"Alpaca and its developers are not liable for any damages to devices or "
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
@ -1004,11 +1006,11 @@ msgstr ""
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
"Please exercise caution and review the code carefully before running it."
|
||||
|
||||
#: src/window.ui:865
|
||||
#: src/window.ui:872
|
||||
msgid "Featured Models"
|
||||
msgstr "Featured Models"
|
||||
|
||||
#: src/window.ui:866
|
||||
#: src/window.ui:873
|
||||
msgid ""
|
||||
"Alpaca works locally on your device, to start chatting you'll need an AI "
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
@ -1018,90 +1020,99 @@ msgstr ""
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
"later."
|
||||
|
||||
#: src/window.ui:876
|
||||
#: src/window.ui:883
|
||||
msgid "Built by Meta"
|
||||
msgstr "Built by Meta"
|
||||
|
||||
#: src/window.ui:894
|
||||
#: src/window.ui:901
|
||||
msgid "Built by Google DeepMind"
|
||||
msgstr "Built by Google DeepMind"
|
||||
|
||||
#: src/window.ui:912
|
||||
#: src/window.ui:919
|
||||
msgid "Built by Microsoft"
|
||||
msgstr "Built by Microsoft"
|
||||
|
||||
#: src/window.ui:930
|
||||
#: src/window.ui:937
|
||||
msgid "Multimodal AI with image recognition"
|
||||
msgstr "Multimodal AI with image recognition"
|
||||
|
||||
#: src/window.ui:959
|
||||
#: src/window.ui:966
|
||||
msgid "Import Chat"
|
||||
msgstr "Import Chat"
|
||||
|
||||
#: src/window.ui:969
|
||||
#: src/window.ui:976
|
||||
msgid "Keyboard Shortcuts"
|
||||
msgstr "Keyboard Shortcuts"
|
||||
|
||||
#: src/window.ui:973
|
||||
#: src/window.ui:980
|
||||
msgid "About Alpaca"
|
||||
msgstr "About Alpaca"
|
||||
|
||||
#: src/window.ui:980 src/window.ui:999
|
||||
#: src/window.ui:987 src/window.ui:1006
|
||||
msgid "Rename Chat"
|
||||
msgstr "Rename Chat"
|
||||
|
||||
#: src/window.ui:984 src/window.ui:1003
|
||||
#: src/window.ui:991 src/window.ui:1010
|
||||
msgid "Export Chat"
|
||||
msgstr "Export Chat"
|
||||
|
||||
#: src/window.ui:988
|
||||
#: src/window.ui:995
|
||||
msgid "Clear Chat"
|
||||
msgstr "Clear Chat"
|
||||
|
||||
#: src/window.ui:995
|
||||
#: src/window.ui:1002
|
||||
msgid "Delete Chat"
|
||||
msgstr "Delete Chat"
|
||||
|
||||
#: src/window.ui:1011
|
||||
#: src/window.ui:1018
|
||||
msgid "From Existing Model"
|
||||
msgstr "From Existing Model"
|
||||
|
||||
#: src/window.ui:1015
|
||||
#: src/window.ui:1022
|
||||
msgid "From GGUF File (Experimental)"
|
||||
msgstr "From GGUF File (Experimental)"
|
||||
|
||||
#: src/window.ui:1061
|
||||
#: src/window.ui:1068
|
||||
msgid "Close application"
|
||||
msgstr "Close application"
|
||||
|
||||
#: src/window.ui:1067
|
||||
#: src/window.ui:1074
|
||||
msgid "Import chat"
|
||||
msgstr "Import chat"
|
||||
|
||||
#: src/window.ui:1073
|
||||
#: src/window.ui:1080
|
||||
msgid "Clear chat"
|
||||
msgstr "Clear chat"
|
||||
|
||||
#: src/window.ui:1085
|
||||
#: src/window.ui:1092
|
||||
msgid "New chat"
|
||||
msgstr "New chat"
|
||||
|
||||
#: src/window.ui:1091
|
||||
#: src/window.ui:1098
|
||||
msgid "Show shortcuts window"
|
||||
msgstr "Show shortcuts window"
|
||||
|
||||
#: src/window.ui:1098
|
||||
#: src/window.ui:1105
|
||||
msgid "Editor"
|
||||
msgstr "Editor"
|
||||
|
||||
#: src/window.ui:1102
|
||||
#: src/window.ui:1109
|
||||
msgid "Copy"
|
||||
msgstr "Copy"
|
||||
|
||||
#: src/window.ui:1108
|
||||
#: src/window.ui:1115
|
||||
msgid "Paste"
|
||||
msgstr "Paste"
|
||||
|
||||
#: src/window.ui:1114
|
||||
#: src/window.ui:1121
|
||||
msgid "Insert new line"
|
||||
msgstr "Insert new line"
|
||||
|
||||
#~ msgid "Message Received"
|
||||
#~ msgstr "Message Received"
|
||||
|
||||
#~ msgid "New message from '{}'"
|
||||
#~ msgstr "New message from '{}'"
|
||||
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Model"
|
||||
|
||||
507
po/es.po
507
po/es.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-05-19 19:44-0600\n"
|
||||
"Last-Translator: Jeffry Samuel Eduarte Rojas <jeffrysamuer@gmail.com>\n"
|
||||
"Language-Team: Spanish\n"
|
||||
@ -1193,6 +1193,511 @@ msgstr "Pegar"
|
||||
msgid "Insert new line"
|
||||
msgstr "Saltar línea"
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "New message from '{}'"
|
||||
#~ msgstr "Nuevo diseño para el entry de mensaje"
|
||||
|
||||
184
po/es.po~
184
po/es.po~
@ -6,8 +6,8 @@
|
||||
msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: https://github.com/Jeffser/Alpaca\n"
|
||||
"POT-Creation-Date: 2024-07-02 18:21-0600\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"PO-Revision-Date: 2024-05-19 19:44-0600\n"
|
||||
"Last-Translator: Jeffry Samuel Eduarte Rojas <jeffrysamuer@gmail.com>\n"
|
||||
"Language-Team: Spanish\n"
|
||||
@ -70,7 +70,7 @@ msgstr "Reconocimiento de documentos de texto plano"
|
||||
msgid "Import and export chats"
|
||||
msgstr "Añadida la opcion de importar y exportar chats"
|
||||
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:853
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:860
|
||||
msgid "Disclaimer"
|
||||
msgstr "Aviso Legal"
|
||||
|
||||
@ -719,7 +719,7 @@ msgstr "0.1.1"
|
||||
msgid "This is the first public version of Alpaca"
|
||||
msgstr "Esta es la primera versión publica de Alpaca"
|
||||
|
||||
#: src/window.py:58 src/window.py:1053 src/window.py:1115 src/window.ui:41
|
||||
#: src/window.py:58 src/window.py:1083 src/window.py:1145 src/window.ui:41
|
||||
msgid "New Chat"
|
||||
msgstr "Nuevo Chat"
|
||||
|
||||
@ -819,73 +819,72 @@ msgstr "Chat exportado exitosamente"
|
||||
msgid "Chat imported successfully"
|
||||
msgstr "Chat importado exitosamente"
|
||||
|
||||
#: src/window.py:278
|
||||
#: src/window.py:280
|
||||
msgid "Close"
|
||||
msgstr "Cerrar"
|
||||
|
||||
#: src/window.py:279 src/window.ui:806
|
||||
#: src/window.py:281 src/window.ui:813
|
||||
msgid "Next"
|
||||
msgstr "Siguiente"
|
||||
|
||||
#: src/window.py:329
|
||||
#: src/window.py:332
|
||||
#, fuzzy
|
||||
msgid "Pulling in the background..."
|
||||
msgstr "Ejecutar en el fondo"
|
||||
|
||||
#: src/window.py:381
|
||||
#: src/window.py:384
|
||||
msgid "Stop Creating '{}'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:418
|
||||
#: src/window.py:421
|
||||
#, fuzzy
|
||||
msgid "image"
|
||||
msgstr "Imagen"
|
||||
|
||||
#: src/window.py:588
|
||||
#: src/window.py:593
|
||||
#, fuzzy
|
||||
msgid "Remove Message"
|
||||
msgstr "Remover Imagen"
|
||||
|
||||
#: src/window.py:593 src/window.py:841
|
||||
#: src/window.py:598 src/window.py:869
|
||||
#, fuzzy
|
||||
msgid "Copy Message"
|
||||
msgstr "Enviar Mensaje"
|
||||
|
||||
#: src/window.py:598
|
||||
#: src/window.py:603
|
||||
#, fuzzy
|
||||
msgid "Edit Message"
|
||||
msgstr "Enviar Mensaje"
|
||||
|
||||
#: src/window.py:729
|
||||
#: src/window.py:661
|
||||
msgid "Missing Image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:677
|
||||
msgid "Missing image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:757
|
||||
msgid "Remove '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "Message Received"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
#, fuzzy
|
||||
msgid "New message from '{}'"
|
||||
msgstr "Nuevo diseño para el entry de mensaje"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Task Complete"
|
||||
msgstr "Tarea completada"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Model '{}' pulled successfully."
|
||||
msgstr "El modelo '{}' fue descargado exitosamente"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Pull Model Error"
|
||||
msgstr "Error Descargando Modelo"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Failed to pull model '{}' due to network error."
|
||||
msgstr "No se pudo descargar el modelo '{}' debido a un error de red"
|
||||
|
||||
#: src/window.py:978
|
||||
#: src/window.py:1008
|
||||
msgid "Stop Pulling '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
@ -897,7 +896,7 @@ msgstr "Menu"
|
||||
msgid "Toggle Sidebar"
|
||||
msgstr "Alternar barra de lado"
|
||||
|
||||
#: src/window.ui:107 src/window.ui:595
|
||||
#: src/window.ui:107 src/window.ui:587
|
||||
#, fuzzy
|
||||
msgid "Manage Models"
|
||||
msgstr "Gestionar modelos"
|
||||
@ -912,29 +911,29 @@ msgstr "Menu"
|
||||
msgid "Attach File"
|
||||
msgstr "Adjuntar archivo"
|
||||
|
||||
#: src/window.ui:238 src/window.ui:1120
|
||||
#: src/window.ui:242 src/window.ui:1127
|
||||
msgid "Send Message"
|
||||
msgstr "Enviar Mensaje"
|
||||
|
||||
#: src/window.ui:286 src/window.ui:965 src/window.ui:1079
|
||||
#: src/window.ui:290 src/window.ui:972 src/window.ui:1086
|
||||
msgid "Preferences"
|
||||
msgstr "Preferencias"
|
||||
|
||||
#: src/window.ui:289 src/window.ui:1057
|
||||
#: src/window.ui:293 src/window.ui:1064
|
||||
msgid "General"
|
||||
msgstr "General"
|
||||
|
||||
#: src/window.ui:297
|
||||
#: src/window.ui:299
|
||||
#, fuzzy
|
||||
msgid "Use Remote Connection to Ollama"
|
||||
msgstr "Gestiona una conección remota a Ollama"
|
||||
|
||||
#: src/window.ui:303
|
||||
#: src/window.ui:305
|
||||
#, fuzzy
|
||||
msgid "URL of Remote Instance"
|
||||
msgstr "URL de la instancia remota"
|
||||
|
||||
#: src/window.ui:310
|
||||
#: src/window.ui:312
|
||||
msgid "Bearer Token (Optional)"
|
||||
msgstr ""
|
||||
|
||||
@ -943,17 +942,12 @@ msgstr ""
|
||||
msgid "Run Alpaca In Background"
|
||||
msgstr "Ejecutar en el fondo"
|
||||
|
||||
#: src/window.ui:331
|
||||
#, fuzzy
|
||||
msgid "Model"
|
||||
msgstr "Parar Modelo"
|
||||
|
||||
#: src/window.ui:341
|
||||
#: src/window.ui:333
|
||||
#, fuzzy
|
||||
msgid "Temperature"
|
||||
msgstr "Temperatura"
|
||||
|
||||
#: src/window.ui:342
|
||||
#: src/window.ui:334
|
||||
msgid ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
@ -961,11 +955,11 @@ msgstr ""
|
||||
"La temperatura del modelo. Incrementando la temparatura hará que el modelo "
|
||||
"responda más creativamente (Por defecto: 0.8)"
|
||||
|
||||
#: src/window.ui:357
|
||||
#: src/window.ui:349
|
||||
msgid "Seed"
|
||||
msgstr "Semilla"
|
||||
|
||||
#: src/window.ui:358
|
||||
#: src/window.ui:350
|
||||
msgid ""
|
||||
"Sets the random number seed to use for generation. Setting this to a "
|
||||
"specific number will make the model generate the same text for the same "
|
||||
@ -975,11 +969,11 @@ msgstr ""
|
||||
"numero especifico hará que el modelo genere el mismo texto a la misma "
|
||||
"pregunta del usuario (Por defecto: 0 (Al azar))"
|
||||
|
||||
#: src/window.ui:372
|
||||
#: src/window.ui:364
|
||||
msgid "Keep Alive Time"
|
||||
msgstr "Tiempo Para Mantener Vivo"
|
||||
|
||||
#: src/window.ui:373
|
||||
#: src/window.ui:365
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
@ -988,17 +982,17 @@ msgstr ""
|
||||
"Controla por cuanto tiempo el modelo permanecera cargado en la memoria "
|
||||
"despues de la ultima petición en minutos (Por defecto: 5)"
|
||||
|
||||
#: src/window.ui:389
|
||||
#: src/window.ui:381
|
||||
#, fuzzy
|
||||
msgid "Ollama Instance"
|
||||
msgstr "Instancia de Ollama"
|
||||
|
||||
#: src/window.ui:393
|
||||
#: src/window.ui:385
|
||||
#, fuzzy
|
||||
msgid "Ollama Overrides"
|
||||
msgstr "Overrides de Ollama"
|
||||
|
||||
#: src/window.ui:394
|
||||
#: src/window.ui:386
|
||||
#, fuzzy
|
||||
msgid ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
@ -1008,33 +1002,33 @@ msgstr ""
|
||||
"solo aplica a la instancia integrada, la instancia se reiniciará si haces "
|
||||
"algún cambio"
|
||||
|
||||
#: src/window.ui:477
|
||||
#: src/window.ui:469
|
||||
msgid "Create"
|
||||
msgstr "Crear"
|
||||
|
||||
#: src/window.ui:490 src/window.ui:605
|
||||
#: src/window.ui:482 src/window.ui:597
|
||||
#, fuzzy
|
||||
msgid "Create Model"
|
||||
msgstr "Crear modelo"
|
||||
|
||||
#: src/window.ui:516
|
||||
#: src/window.ui:508
|
||||
msgid "Base"
|
||||
msgstr "Base"
|
||||
|
||||
#: src/window.ui:534
|
||||
#: src/window.ui:526
|
||||
msgid "Name"
|
||||
msgstr "Nombre"
|
||||
|
||||
#: src/window.ui:540
|
||||
#: src/window.ui:532
|
||||
msgid "Context"
|
||||
msgstr "Contexto"
|
||||
|
||||
#: src/window.ui:555
|
||||
#: src/window.ui:547
|
||||
#, fuzzy
|
||||
msgid "Template"
|
||||
msgstr "Plantilla"
|
||||
|
||||
#: src/window.ui:561
|
||||
#: src/window.ui:553
|
||||
msgid ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
@ -1042,40 +1036,46 @@ msgstr ""
|
||||
"Algunos modelos requieren de una plantilla especifica. Por favor visita el "
|
||||
"sitio web del modelo para más información en caso de que no estés seguro"
|
||||
|
||||
#: src/window.ui:612
|
||||
#: src/window.ui:604
|
||||
#, fuzzy
|
||||
msgid "Search Model"
|
||||
msgstr "Modelos Destacados"
|
||||
|
||||
#: src/window.ui:672
|
||||
#: src/window.ui:664
|
||||
msgid "No Models Found"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:673
|
||||
#: src/window.ui:665
|
||||
msgid "Try a different search"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:738
|
||||
#: src/window.ui:708
|
||||
msgid ""
|
||||
"By downloading this model you accept the license agreement available on the "
|
||||
"model's website."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:745
|
||||
msgid "Open with Default App"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:790
|
||||
#: src/window.ui:797
|
||||
msgid "Previous"
|
||||
msgstr "Anterior"
|
||||
|
||||
#: src/window.ui:833
|
||||
#: src/window.ui:840
|
||||
msgid "Welcome to Alpaca"
|
||||
msgstr "Bienvenido a Alpaca"
|
||||
|
||||
#: src/window.ui:834
|
||||
#: src/window.ui:841
|
||||
msgid "Powered by Ollama"
|
||||
msgstr "Impulsado por Ollama"
|
||||
|
||||
#: src/window.ui:837
|
||||
#: src/window.ui:844
|
||||
msgid "Ollama Website"
|
||||
msgstr "Sitio Web de Ollama"
|
||||
|
||||
#: src/window.ui:854
|
||||
#: src/window.ui:861
|
||||
msgid ""
|
||||
"Alpaca and its developers are not liable for any damages to devices or "
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
@ -1086,12 +1086,12 @@ msgstr ""
|
||||
"un modelo de IA. Por favor sea precavido y revise el codigo cuidadosamente "
|
||||
"antes de correrlo"
|
||||
|
||||
#: src/window.ui:865
|
||||
#: src/window.ui:872
|
||||
#, fuzzy
|
||||
msgid "Featured Models"
|
||||
msgstr "Modelos Destacados"
|
||||
|
||||
#: src/window.ui:866
|
||||
#: src/window.ui:873
|
||||
msgid ""
|
||||
"Alpaca works locally on your device, to start chatting you'll need an AI "
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
@ -1101,98 +1101,106 @@ msgstr ""
|
||||
"necesitas un modelo IA, puedes descargar modelos de esta lista o usando el "
|
||||
"menu 'Gestionar Modelos' despues"
|
||||
|
||||
#: src/window.ui:876
|
||||
#: src/window.ui:883
|
||||
msgid "Built by Meta"
|
||||
msgstr "Construido por Meta"
|
||||
|
||||
#: src/window.ui:894
|
||||
#: src/window.ui:901
|
||||
msgid "Built by Google DeepMind"
|
||||
msgstr "Construido por Google DeepMind"
|
||||
|
||||
#: src/window.ui:912
|
||||
#: src/window.ui:919
|
||||
msgid "Built by Microsoft"
|
||||
msgstr "Construido por Microsoft"
|
||||
|
||||
#: src/window.ui:930
|
||||
#: src/window.ui:937
|
||||
msgid "Multimodal AI with image recognition"
|
||||
msgstr "IA multimodal con reconocimiento de imagenes"
|
||||
|
||||
#: src/window.ui:959
|
||||
#: src/window.ui:966
|
||||
#, fuzzy
|
||||
msgid "Import Chat"
|
||||
msgstr "Importar chat"
|
||||
|
||||
#: src/window.ui:969
|
||||
#: src/window.ui:976
|
||||
msgid "Keyboard Shortcuts"
|
||||
msgstr "Atajos de Teclado"
|
||||
|
||||
#: src/window.ui:973
|
||||
#: src/window.ui:980
|
||||
msgid "About Alpaca"
|
||||
msgstr "Sobre Alpaca"
|
||||
|
||||
#: src/window.ui:980 src/window.ui:999
|
||||
#: src/window.ui:987 src/window.ui:1006
|
||||
msgid "Rename Chat"
|
||||
msgstr "Renombrar Chat"
|
||||
|
||||
#: src/window.ui:984 src/window.ui:1003
|
||||
#: src/window.ui:991 src/window.ui:1010
|
||||
#, fuzzy
|
||||
msgid "Export Chat"
|
||||
msgstr "Importar chat"
|
||||
|
||||
#: src/window.ui:988
|
||||
#: src/window.ui:995
|
||||
msgid "Clear Chat"
|
||||
msgstr "Limpiar Chat"
|
||||
|
||||
#: src/window.ui:995
|
||||
#: src/window.ui:1002
|
||||
msgid "Delete Chat"
|
||||
msgstr "Eliminar Chat"
|
||||
|
||||
#: src/window.ui:1011
|
||||
#: src/window.ui:1018
|
||||
#, fuzzy
|
||||
msgid "From Existing Model"
|
||||
msgstr "Usar modelo existente"
|
||||
|
||||
#: src/window.ui:1015
|
||||
#: src/window.ui:1022
|
||||
#, fuzzy
|
||||
msgid "From GGUF File (Experimental)"
|
||||
msgstr "Usar archivo GGUF (Experimental)"
|
||||
|
||||
#: src/window.ui:1061
|
||||
#: src/window.ui:1068
|
||||
msgid "Close application"
|
||||
msgstr "Cerrar aplicación"
|
||||
|
||||
#: src/window.ui:1067
|
||||
#: src/window.ui:1074
|
||||
msgid "Import chat"
|
||||
msgstr "Importar chat"
|
||||
|
||||
#: src/window.ui:1073
|
||||
#: src/window.ui:1080
|
||||
msgid "Clear chat"
|
||||
msgstr "Limpiar chat"
|
||||
|
||||
#: src/window.ui:1085
|
||||
#: src/window.ui:1092
|
||||
msgid "New chat"
|
||||
msgstr "Nuevo chat"
|
||||
|
||||
#: src/window.ui:1091
|
||||
#: src/window.ui:1098
|
||||
msgid "Show shortcuts window"
|
||||
msgstr "Mostrar ventana de atajos"
|
||||
|
||||
#: src/window.ui:1098
|
||||
#: src/window.ui:1105
|
||||
msgid "Editor"
|
||||
msgstr "Editor"
|
||||
|
||||
#: src/window.ui:1102
|
||||
#: src/window.ui:1109
|
||||
msgid "Copy"
|
||||
msgstr "Copiar"
|
||||
|
||||
#: src/window.ui:1108
|
||||
#: src/window.ui:1115
|
||||
msgid "Paste"
|
||||
msgstr "Pegar"
|
||||
|
||||
#: src/window.ui:1114
|
||||
#: src/window.ui:1121
|
||||
msgid "Insert new line"
|
||||
msgstr "Saltar línea"
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "New message from '{}'"
|
||||
#~ msgstr "Nuevo diseño para el entry de mensaje"
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Parar Modelo"
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Send message"
|
||||
#~ msgstr "Enviar Mensaje"
|
||||
|
||||
507
po/fr.po
507
po/fr.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-07-06 15:45+0200\n"
|
||||
"Last-Translator: Louis Chauvet-Villaret <louischauvet0@gmail.com>\n"
|
||||
"Language-Team: French\n"
|
||||
@ -1152,6 +1152,511 @@ msgstr "Coller"
|
||||
msgid "Insert new line"
|
||||
msgstr "Ajouter une ligne"
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#~ msgid "Message Received"
|
||||
#~ msgstr "Message reçu"
|
||||
|
||||
|
||||
183
po/fr.po~
183
po/fr.po~
@ -6,8 +6,8 @@
|
||||
msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: https://github.com/Jeffser/Alpaca\n"
|
||||
"POT-Creation-Date: 2024-07-02 18:21-0600\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"PO-Revision-Date: 2024-07-06 15:45+0200\n"
|
||||
"Last-Translator: Louis Chauvet-Villaret <louischauvet0@gmail.com>\n"
|
||||
"Language-Team: French\n"
|
||||
@ -66,7 +66,7 @@ msgstr "Reconnaissance de documents en texte brut"
|
||||
msgid "Import and export chats"
|
||||
msgstr "Importez et exportez les discussions"
|
||||
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:853
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:860
|
||||
msgid "Disclaimer"
|
||||
msgstr "Avertissement"
|
||||
|
||||
@ -703,7 +703,7 @@ msgstr "Version stable"
|
||||
msgid "This is the first public version of Alpaca"
|
||||
msgstr "Première version publique d'Alpaca"
|
||||
|
||||
#: src/window.py:58 src/window.py:1053 src/window.py:1115 src/window.ui:41
|
||||
#: src/window.py:58 src/window.py:1083 src/window.py:1145 src/window.ui:41
|
||||
msgid "New Chat"
|
||||
msgstr "Nouvelle discussion"
|
||||
|
||||
@ -798,68 +798,68 @@ msgstr "Discussion exportée avec succès"
|
||||
msgid "Chat imported successfully"
|
||||
msgstr "Discussion importée avec succès"
|
||||
|
||||
#: src/window.py:278
|
||||
#: src/window.py:280
|
||||
msgid "Close"
|
||||
msgstr "Fermer"
|
||||
|
||||
#: src/window.py:279 src/window.ui:806
|
||||
#: src/window.py:281 src/window.ui:813
|
||||
msgid "Next"
|
||||
msgstr "Suivant"
|
||||
|
||||
#: src/window.py:329
|
||||
#: src/window.py:332
|
||||
msgid "Pulling in the background..."
|
||||
msgstr "Téléchargement en arrière-plan..."
|
||||
|
||||
#: src/window.py:381
|
||||
#: src/window.py:384
|
||||
msgid "Stop Creating '{}'"
|
||||
msgstr "Arrêter de créer '{}'"
|
||||
|
||||
#: src/window.py:418
|
||||
#: src/window.py:421
|
||||
msgid "image"
|
||||
msgstr "Image"
|
||||
|
||||
#: src/window.py:588
|
||||
#: src/window.py:593
|
||||
msgid "Remove Message"
|
||||
msgstr "Supprimer le message"
|
||||
|
||||
#: src/window.py:593 src/window.py:841
|
||||
#: src/window.py:598 src/window.py:869
|
||||
msgid "Copy Message"
|
||||
msgstr "Copier le message"
|
||||
|
||||
#: src/window.py:598
|
||||
#: src/window.py:603
|
||||
msgid "Edit Message"
|
||||
msgstr "Modifier le message"
|
||||
|
||||
#: src/window.py:729
|
||||
#: src/window.py:661
|
||||
msgid "Missing Image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:677
|
||||
msgid "Missing image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:757
|
||||
msgid "Remove '{} ({})'"
|
||||
msgstr "Supprimer '{} ({})'"
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "Message Received"
|
||||
msgstr "Message reçu"
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "New message from '{}'"
|
||||
msgstr "Nouveau message depuis '{}'"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Task Complete"
|
||||
msgstr "Tâche terminée"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Model '{}' pulled successfully."
|
||||
msgstr "Modèle '{}' téléchargé avec succès."
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Pull Model Error"
|
||||
msgstr "Erreur de téléchargement du modèle"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Failed to pull model '{}' due to network error."
|
||||
msgstr ""
|
||||
"Échec du téléchargement du modèle '{}' à cause d'une erreur de connexion"
|
||||
|
||||
#: src/window.py:978
|
||||
#: src/window.py:1008
|
||||
msgid "Stop Pulling '{} ({})'"
|
||||
msgstr "Arrêter de télécharger '{} ({})'"
|
||||
|
||||
@ -871,7 +871,7 @@ msgstr "Menu"
|
||||
msgid "Toggle Sidebar"
|
||||
msgstr "Basculer la barre latérale"
|
||||
|
||||
#: src/window.ui:107 src/window.ui:595
|
||||
#: src/window.ui:107 src/window.ui:587
|
||||
msgid "Manage Models"
|
||||
msgstr "Gérer les modèles"
|
||||
|
||||
@ -883,29 +883,29 @@ msgstr "Menu des discussions"
|
||||
msgid "Attach File"
|
||||
msgstr "Ajouter un fichier"
|
||||
|
||||
#: src/window.ui:238 src/window.ui:1120
|
||||
#: src/window.ui:242 src/window.ui:1127
|
||||
msgid "Send Message"
|
||||
msgstr "Envoyer le message"
|
||||
|
||||
#: src/window.ui:286 src/window.ui:965 src/window.ui:1079
|
||||
#: src/window.ui:290 src/window.ui:972 src/window.ui:1086
|
||||
msgid "Preferences"
|
||||
msgstr "Préférences"
|
||||
|
||||
#: src/window.ui:289 src/window.ui:1057
|
||||
#: src/window.ui:293 src/window.ui:1064
|
||||
msgid "General"
|
||||
msgstr "Général"
|
||||
|
||||
#: src/window.ui:297
|
||||
#: src/window.ui:299
|
||||
msgid "Use Remote Connection to Ollama"
|
||||
msgstr "Utiliser une connexion à distance d'Ollama"
|
||||
|
||||
#: src/window.ui:303
|
||||
#: src/window.ui:305
|
||||
msgid "URL of Remote Instance"
|
||||
msgstr "URL de la connexion distante"
|
||||
|
||||
# I don't really know how to translate "Bearer Token"
|
||||
# I search for it but they don't translate it
|
||||
#: src/window.ui:310
|
||||
#: src/window.ui:312
|
||||
msgid "Bearer Token (Optional)"
|
||||
msgstr "Bearer Token (Optionnel)"
|
||||
|
||||
@ -913,15 +913,11 @@ msgstr "Bearer Token (Optionnel)"
|
||||
msgid "Run Alpaca In Background"
|
||||
msgstr "Exécuter Alpaca en arrière-plan"
|
||||
|
||||
#: src/window.ui:331
|
||||
msgid "Model"
|
||||
msgstr "Modèle"
|
||||
|
||||
#: src/window.ui:341
|
||||
#: src/window.ui:333
|
||||
msgid "Temperature"
|
||||
msgstr "Température"
|
||||
|
||||
#: src/window.ui:342
|
||||
#: src/window.ui:334
|
||||
msgid ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
@ -929,11 +925,11 @@ msgstr ""
|
||||
"La température du modèle. Augmenter la température engendrera des réponses "
|
||||
"plus créatives. (défaut : 0.8)"
|
||||
|
||||
#: src/window.ui:357
|
||||
#: src/window.ui:349
|
||||
msgid "Seed"
|
||||
msgstr "Graine"
|
||||
|
||||
#: src/window.ui:358
|
||||
#: src/window.ui:350
|
||||
msgid ""
|
||||
"Sets the random number seed to use for generation. Setting this to a "
|
||||
"specific number will make the model generate the same text for the same "
|
||||
@ -943,11 +939,11 @@ msgstr ""
|
||||
"spécifique induira une même réponse pour un même prompt. (défaut : 0 "
|
||||
"(aléatoire))"
|
||||
|
||||
#: src/window.ui:372
|
||||
#: src/window.ui:364
|
||||
msgid "Keep Alive Time"
|
||||
msgstr "Temps en mémoire"
|
||||
|
||||
#: src/window.ui:373
|
||||
#: src/window.ui:365
|
||||
msgid ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
"request in minutes (Default: 5)"
|
||||
@ -955,16 +951,16 @@ msgstr ""
|
||||
"Gérer la durée en minutes durant laquelle le modèle reste chargé en mémoire "
|
||||
"(défaut : 5)"
|
||||
|
||||
#: src/window.ui:389
|
||||
#: src/window.ui:381
|
||||
msgid "Ollama Instance"
|
||||
msgstr "Instance d'Ollama"
|
||||
|
||||
# What is override ???
|
||||
#: src/window.ui:393
|
||||
#: src/window.ui:385
|
||||
msgid "Ollama Overrides"
|
||||
msgstr "Paramètres d'Ollama"
|
||||
|
||||
#: src/window.ui:394
|
||||
#: src/window.ui:386
|
||||
msgid ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
"to the integrated instance, the instance will restart if you make changes."
|
||||
@ -973,31 +969,31 @@ msgstr ""
|
||||
"s'appliquent seulement à l'instance intégré. L'instance va redémarrer si "
|
||||
"vous effectuez des changements."
|
||||
|
||||
#: src/window.ui:477
|
||||
#: src/window.ui:469
|
||||
msgid "Create"
|
||||
msgstr "Créer"
|
||||
|
||||
#: src/window.ui:490 src/window.ui:605
|
||||
#: src/window.ui:482 src/window.ui:597
|
||||
msgid "Create Model"
|
||||
msgstr "Créer un modèle"
|
||||
|
||||
#: src/window.ui:516
|
||||
#: src/window.ui:508
|
||||
msgid "Base"
|
||||
msgstr "Base"
|
||||
|
||||
#: src/window.ui:534
|
||||
#: src/window.ui:526
|
||||
msgid "Name"
|
||||
msgstr "Nom"
|
||||
|
||||
#: src/window.ui:540
|
||||
#: src/window.ui:532
|
||||
msgid "Context"
|
||||
msgstr "Contexte"
|
||||
|
||||
#: src/window.ui:555
|
||||
#: src/window.ui:547
|
||||
msgid "Template"
|
||||
msgstr "Template"
|
||||
|
||||
#: src/window.ui:561
|
||||
#: src/window.ui:553
|
||||
msgid ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
@ -1005,39 +1001,45 @@ msgstr ""
|
||||
"Certains modèles requièrent un format spécifique. Merci de visiter le site "
|
||||
"du modèle pour plus d'information."
|
||||
|
||||
#: src/window.ui:612
|
||||
#: src/window.ui:604
|
||||
msgid "Search Model"
|
||||
msgstr "Chercher un modèle"
|
||||
|
||||
#: src/window.ui:672
|
||||
#: src/window.ui:664
|
||||
msgid "No Models Found"
|
||||
msgstr "Aucun modèle trouvé"
|
||||
|
||||
#: src/window.ui:673
|
||||
#: src/window.ui:665
|
||||
msgid "Try a different search"
|
||||
msgstr "Essayez une recherche différente"
|
||||
|
||||
#: src/window.ui:738
|
||||
#: src/window.ui:708
|
||||
msgid ""
|
||||
"By downloading this model you accept the license agreement available on the "
|
||||
"model's website."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:745
|
||||
msgid "Open with Default App"
|
||||
msgstr "Ouvrir avec l'application par défaut"
|
||||
|
||||
#: src/window.ui:790
|
||||
#: src/window.ui:797
|
||||
msgid "Previous"
|
||||
msgstr "Précédent"
|
||||
|
||||
#: src/window.ui:833
|
||||
#: src/window.ui:840
|
||||
msgid "Welcome to Alpaca"
|
||||
msgstr "Bienvenue sur Alpaca"
|
||||
|
||||
#: src/window.ui:834
|
||||
#: src/window.ui:841
|
||||
msgid "Powered by Ollama"
|
||||
msgstr "Fonctionne grâce à Ollama"
|
||||
|
||||
#: src/window.ui:837
|
||||
#: src/window.ui:844
|
||||
msgid "Ollama Website"
|
||||
msgstr "Site web d'Ollama"
|
||||
|
||||
#: src/window.ui:854
|
||||
#: src/window.ui:861
|
||||
msgid ""
|
||||
"Alpaca and its developers are not liable for any damages to devices or "
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
@ -1048,11 +1050,11 @@ msgstr ""
|
||||
"modèle. Merci de faire attention et de relire attentivement le code avant de "
|
||||
"l'exécuter."
|
||||
|
||||
#: src/window.ui:865
|
||||
#: src/window.ui:872
|
||||
msgid "Featured Models"
|
||||
msgstr "Modèles recommandés"
|
||||
|
||||
#: src/window.ui:866
|
||||
#: src/window.ui:873
|
||||
msgid ""
|
||||
"Alpaca works locally on your device, to start chatting you'll need an AI "
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
@ -1062,94 +1064,103 @@ msgstr ""
|
||||
"vous aurez besoin d'un modèle d'IA, vous pouvez télécharger un modèle soit "
|
||||
"depuis cette liste soit depuis le menu 'Gérer les modèles' plus tard."
|
||||
|
||||
#: src/window.ui:876
|
||||
#: src/window.ui:883
|
||||
msgid "Built by Meta"
|
||||
msgstr "Développé par Meta"
|
||||
|
||||
#: src/window.ui:894
|
||||
#: src/window.ui:901
|
||||
msgid "Built by Google DeepMind"
|
||||
msgstr "Développé par Google DeepMind"
|
||||
|
||||
#: src/window.ui:912
|
||||
#: src/window.ui:919
|
||||
msgid "Built by Microsoft"
|
||||
msgstr "Développé par Microsoft"
|
||||
|
||||
#: src/window.ui:930
|
||||
#: src/window.ui:937
|
||||
msgid "Multimodal AI with image recognition"
|
||||
msgstr "IA multimodale avec reconnaissance d'image"
|
||||
|
||||
#: src/window.ui:959
|
||||
#: src/window.ui:966
|
||||
msgid "Import Chat"
|
||||
msgstr "Importer une discussion"
|
||||
|
||||
#: src/window.ui:969
|
||||
#: src/window.ui:976
|
||||
msgid "Keyboard Shortcuts"
|
||||
msgstr "Raccourcis claviers"
|
||||
|
||||
#: src/window.ui:973
|
||||
#: src/window.ui:980
|
||||
msgid "About Alpaca"
|
||||
msgstr "À propos d'Alpaca"
|
||||
|
||||
#: src/window.ui:980 src/window.ui:999
|
||||
#: src/window.ui:987 src/window.ui:1006
|
||||
msgid "Rename Chat"
|
||||
msgstr "Renommer la discussion"
|
||||
|
||||
#: src/window.ui:984 src/window.ui:1003
|
||||
#: src/window.ui:991 src/window.ui:1010
|
||||
msgid "Export Chat"
|
||||
msgstr "Exporter la discussion"
|
||||
|
||||
#: src/window.ui:988
|
||||
#: src/window.ui:995
|
||||
msgid "Clear Chat"
|
||||
msgstr "Supprimer la discussion"
|
||||
|
||||
#: src/window.ui:995
|
||||
#: src/window.ui:1002
|
||||
msgid "Delete Chat"
|
||||
msgstr "Supprimer la discussion"
|
||||
|
||||
#: src/window.ui:1011
|
||||
#: src/window.ui:1018
|
||||
msgid "From Existing Model"
|
||||
msgstr "Depuis un modèle existant"
|
||||
|
||||
#: src/window.ui:1015
|
||||
#: src/window.ui:1022
|
||||
msgid "From GGUF File (Experimental)"
|
||||
msgstr "Depuis un fichier GGUF (Experimental)"
|
||||
|
||||
#: src/window.ui:1061
|
||||
#: src/window.ui:1068
|
||||
msgid "Close application"
|
||||
msgstr "Fermer l'application"
|
||||
|
||||
#: src/window.ui:1067
|
||||
#: src/window.ui:1074
|
||||
msgid "Import chat"
|
||||
msgstr "Importer une discussion"
|
||||
|
||||
#: src/window.ui:1073
|
||||
#: src/window.ui:1080
|
||||
msgid "Clear chat"
|
||||
msgstr "Supprimer la discussion"
|
||||
|
||||
#: src/window.ui:1085
|
||||
#: src/window.ui:1092
|
||||
msgid "New chat"
|
||||
msgstr "Nouvelle discussion"
|
||||
|
||||
#: src/window.ui:1091
|
||||
#: src/window.ui:1098
|
||||
msgid "Show shortcuts window"
|
||||
msgstr "Voir les raccourcis clavier"
|
||||
|
||||
#: src/window.ui:1098
|
||||
#: src/window.ui:1105
|
||||
msgid "Editor"
|
||||
msgstr "Éditeur"
|
||||
|
||||
#: src/window.ui:1102
|
||||
#: src/window.ui:1109
|
||||
msgid "Copy"
|
||||
msgstr "Copier"
|
||||
|
||||
#: src/window.ui:1108
|
||||
#: src/window.ui:1115
|
||||
msgid "Paste"
|
||||
msgstr "Coller"
|
||||
|
||||
#: src/window.ui:1114
|
||||
#: src/window.ui:1121
|
||||
msgid "Insert new line"
|
||||
msgstr "Ajouter une ligne"
|
||||
|
||||
#~ msgid "Message Received"
|
||||
#~ msgstr "Message reçu"
|
||||
|
||||
#~ msgid "New message from '{}'"
|
||||
#~ msgstr "Nouveau message depuis '{}'"
|
||||
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Modèle"
|
||||
|
||||
#~ msgid "Send message"
|
||||
#~ msgstr "Envoyer le message"
|
||||
|
||||
|
||||
507
po/nb_NO.po
507
po/nb_NO.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:06-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-07-02 18:24-0600\n"
|
||||
"Last-Translator: Niklas Opsahl Halvorsen\n"
|
||||
"Language-Team: Norwegian\n"
|
||||
@ -1104,6 +1104,511 @@ msgstr "Lim inn"
|
||||
msgid "Insert new line"
|
||||
msgstr "Sett inn ny linje"
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#~ msgid "Message Received"
|
||||
#~ msgstr "Melding Mottatt"
|
||||
|
||||
|
||||
1114
po/nb_NO.po~
Normal file
1114
po/nb_NO.po~
Normal file
File diff suppressed because it is too large
Load Diff
507
po/pt_BR.po
507
po/pt_BR.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-05-23 23:29-0600\n"
|
||||
"Last-Translator: Daimar Stein <daimarstein@pm.me>\n"
|
||||
"Language-Team: Brazilian Portuguese\n"
|
||||
@ -1166,6 +1166,511 @@ msgstr "Colar"
|
||||
msgid "Insert new line"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Parar Modelo"
|
||||
|
||||
177
po/pt_BR.po~
177
po/pt_BR.po~
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-02 18:21-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"PO-Revision-Date: 2024-05-23 23:29-0600\n"
|
||||
"Last-Translator: Daimar Stein <daimarstein@pm.me>\n"
|
||||
"Language-Team: Brazilian Portuguese\n"
|
||||
@ -70,7 +70,7 @@ msgstr ""
|
||||
msgid "Import and export chats"
|
||||
msgstr "Importe e exporte conversas"
|
||||
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:853
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:860
|
||||
msgid "Disclaimer"
|
||||
msgstr "Aviso Legal"
|
||||
|
||||
@ -714,7 +714,7 @@ msgstr "0.1.1 Lançamento Estável"
|
||||
msgid "This is the first public version of Alpaca"
|
||||
msgstr "Essa é a primeira versão pública de Alpaca"
|
||||
|
||||
#: src/window.py:58 src/window.py:1053 src/window.py:1115 src/window.ui:41
|
||||
#: src/window.py:58 src/window.py:1083 src/window.py:1145 src/window.ui:41
|
||||
msgid "New Chat"
|
||||
msgstr "Nova Conversa"
|
||||
|
||||
@ -812,72 +812,72 @@ msgstr "Conversa exportada com sucesso"
|
||||
msgid "Chat imported successfully"
|
||||
msgstr "Conversa importada com sucesso"
|
||||
|
||||
#: src/window.py:278
|
||||
#: src/window.py:280
|
||||
msgid "Close"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:279 src/window.ui:806
|
||||
#: src/window.py:281 src/window.ui:813
|
||||
msgid "Next"
|
||||
msgstr "Próximo"
|
||||
|
||||
#: src/window.py:329
|
||||
#: src/window.py:332
|
||||
#, fuzzy
|
||||
msgid "Pulling in the background..."
|
||||
msgstr "Executar em segundo plano"
|
||||
|
||||
#: src/window.py:381
|
||||
#: src/window.py:384
|
||||
msgid "Stop Creating '{}'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:418
|
||||
#: src/window.py:421
|
||||
#, fuzzy
|
||||
msgid "image"
|
||||
msgstr "Imagem"
|
||||
|
||||
#: src/window.py:588
|
||||
#: src/window.py:593
|
||||
#, fuzzy
|
||||
msgid "Remove Message"
|
||||
msgstr "Remover Imagem"
|
||||
|
||||
#: src/window.py:593 src/window.py:841
|
||||
#: src/window.py:598 src/window.py:869
|
||||
#, fuzzy
|
||||
msgid "Copy Message"
|
||||
msgstr "Enviar Mensagem"
|
||||
|
||||
#: src/window.py:598
|
||||
#: src/window.py:603
|
||||
#, fuzzy
|
||||
msgid "Edit Message"
|
||||
msgstr "Enviar Mensagem"
|
||||
|
||||
#: src/window.py:729
|
||||
#: src/window.py:661
|
||||
msgid "Missing Image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:677
|
||||
msgid "Missing image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:757
|
||||
msgid "Remove '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "Message Received"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "New message from '{}'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Task Complete"
|
||||
msgstr "Tarefa Concluída"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Model '{}' pulled successfully."
|
||||
msgstr "O modelo '{}' foi baixado com sucesso"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Pull Model Error"
|
||||
msgstr "Erro ao Baixar Modelo"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Failed to pull model '{}' due to network error."
|
||||
msgstr "Não foi possível baixar o modelo '{}' devido a um erro de rede."
|
||||
|
||||
#: src/window.py:978
|
||||
#: src/window.py:1008
|
||||
msgid "Stop Pulling '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
@ -889,7 +889,7 @@ msgstr "Menu"
|
||||
msgid "Toggle Sidebar"
|
||||
msgstr "Alternar barra lateral"
|
||||
|
||||
#: src/window.ui:107 src/window.ui:595
|
||||
#: src/window.ui:107 src/window.ui:587
|
||||
#, fuzzy
|
||||
msgid "Manage Models"
|
||||
msgstr "Gerenciar modelos"
|
||||
@ -903,29 +903,29 @@ msgstr "Menu"
|
||||
msgid "Attach File"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:238 src/window.ui:1120
|
||||
#: src/window.ui:242 src/window.ui:1127
|
||||
msgid "Send Message"
|
||||
msgstr "Enviar Mensagem"
|
||||
|
||||
#: src/window.ui:286 src/window.ui:965 src/window.ui:1079
|
||||
#: src/window.ui:290 src/window.ui:972 src/window.ui:1086
|
||||
msgid "Preferences"
|
||||
msgstr "Preferências"
|
||||
|
||||
#: src/window.ui:289 src/window.ui:1057
|
||||
#: src/window.ui:293 src/window.ui:1064
|
||||
msgid "General"
|
||||
msgstr "Geral"
|
||||
|
||||
#: src/window.ui:297
|
||||
#: src/window.ui:299
|
||||
#, fuzzy
|
||||
msgid "Use Remote Connection to Ollama"
|
||||
msgstr "Gerencia uma conexão remota com Ollama"
|
||||
|
||||
#: src/window.ui:303
|
||||
#: src/window.ui:305
|
||||
#, fuzzy
|
||||
msgid "URL of Remote Instance"
|
||||
msgstr "URL da instância remota"
|
||||
|
||||
#: src/window.ui:310
|
||||
#: src/window.ui:312
|
||||
msgid "Bearer Token (Optional)"
|
||||
msgstr ""
|
||||
|
||||
@ -934,125 +934,126 @@ msgstr ""
|
||||
msgid "Run Alpaca In Background"
|
||||
msgstr "Executar em segundo plano"
|
||||
|
||||
#: src/window.ui:331
|
||||
#, fuzzy
|
||||
msgid "Model"
|
||||
msgstr "Parar Modelo"
|
||||
|
||||
#: src/window.ui:341
|
||||
#: src/window.ui:333
|
||||
#, fuzzy
|
||||
msgid "Temperature"
|
||||
msgstr "Funcionalidades"
|
||||
|
||||
#: src/window.ui:342
|
||||
#: src/window.ui:334
|
||||
msgid ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:357
|
||||
#: src/window.ui:349
|
||||
msgid "Seed"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:358
|
||||
#: src/window.ui:350
|
||||
msgid ""
|
||||
"Sets the random number seed to use for generation. Setting this to a "
|
||||
"specific number will make the model generate the same text for the same "
|
||||
"prompt. (Default: 0 (random))"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:372
|
||||
#: src/window.ui:364
|
||||
msgid "Keep Alive Time"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:373
|
||||
#: src/window.ui:365
|
||||
msgid ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
"request in minutes (Default: 5)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:389
|
||||
#: src/window.ui:381
|
||||
#, fuzzy
|
||||
msgid "Ollama Instance"
|
||||
msgstr "Um cliente Ollama"
|
||||
|
||||
#: src/window.ui:393
|
||||
#: src/window.ui:385
|
||||
#, fuzzy
|
||||
msgid "Ollama Overrides"
|
||||
msgstr "Site do Ollama"
|
||||
|
||||
#: src/window.ui:394
|
||||
#: src/window.ui:386
|
||||
msgid ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
"to the integrated instance, the instance will restart if you make changes."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:477
|
||||
#: src/window.ui:469
|
||||
msgid "Create"
|
||||
msgstr "Criar"
|
||||
|
||||
#: src/window.ui:490 src/window.ui:605
|
||||
#: src/window.ui:482 src/window.ui:597
|
||||
#, fuzzy
|
||||
msgid "Create Model"
|
||||
msgstr "Criar"
|
||||
|
||||
#: src/window.ui:516
|
||||
#: src/window.ui:508
|
||||
msgid "Base"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:534
|
||||
#: src/window.ui:526
|
||||
msgid "Name"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:540
|
||||
#: src/window.ui:532
|
||||
msgid "Context"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:555
|
||||
#: src/window.ui:547
|
||||
#, fuzzy
|
||||
msgid "Template"
|
||||
msgstr "Funcionalidades"
|
||||
|
||||
#: src/window.ui:561
|
||||
#: src/window.ui:553
|
||||
msgid ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:612
|
||||
#: src/window.ui:604
|
||||
#, fuzzy
|
||||
msgid "Search Model"
|
||||
msgstr "Funcionalidades"
|
||||
|
||||
#: src/window.ui:672
|
||||
#: src/window.ui:664
|
||||
msgid "No Models Found"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:673
|
||||
#: src/window.ui:665
|
||||
msgid "Try a different search"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:738
|
||||
#: src/window.ui:708
|
||||
msgid ""
|
||||
"By downloading this model you accept the license agreement available on the "
|
||||
"model's website."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:745
|
||||
msgid "Open with Default App"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:790
|
||||
#: src/window.ui:797
|
||||
msgid "Previous"
|
||||
msgstr "Anterior"
|
||||
|
||||
#: src/window.ui:833
|
||||
#: src/window.ui:840
|
||||
msgid "Welcome to Alpaca"
|
||||
msgstr "Bem-vindo(a) a Alpaca"
|
||||
|
||||
#: src/window.ui:834
|
||||
#: src/window.ui:841
|
||||
msgid "Powered by Ollama"
|
||||
msgstr "Com tecnologia Ollama"
|
||||
|
||||
#: src/window.ui:837
|
||||
#: src/window.ui:844
|
||||
msgid "Ollama Website"
|
||||
msgstr "Site do Ollama"
|
||||
|
||||
#: src/window.ui:854
|
||||
#: src/window.ui:861
|
||||
msgid ""
|
||||
"Alpaca and its developers are not liable for any damages to devices or "
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
@ -1063,108 +1064,112 @@ msgstr ""
|
||||
"por um modelo de IA. Por favor, tenha cuidado e revise o código com cuidado "
|
||||
"antes de executá-lo."
|
||||
|
||||
#: src/window.ui:865
|
||||
#: src/window.ui:872
|
||||
#, fuzzy
|
||||
msgid "Featured Models"
|
||||
msgstr "Funcionalidades"
|
||||
|
||||
#: src/window.ui:866
|
||||
#: src/window.ui:873
|
||||
msgid ""
|
||||
"Alpaca works locally on your device, to start chatting you'll need an AI "
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
"later."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:876
|
||||
#: src/window.ui:883
|
||||
msgid "Built by Meta"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:894
|
||||
#: src/window.ui:901
|
||||
msgid "Built by Google DeepMind"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:912
|
||||
#: src/window.ui:919
|
||||
msgid "Built by Microsoft"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:930
|
||||
#: src/window.ui:937
|
||||
msgid "Multimodal AI with image recognition"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:959
|
||||
#: src/window.ui:966
|
||||
#, fuzzy
|
||||
msgid "Import Chat"
|
||||
msgstr "Importar conversa"
|
||||
|
||||
#: src/window.ui:969
|
||||
#: src/window.ui:976
|
||||
msgid "Keyboard Shortcuts"
|
||||
msgstr "Atalhos de Teclado"
|
||||
|
||||
#: src/window.ui:973
|
||||
#: src/window.ui:980
|
||||
msgid "About Alpaca"
|
||||
msgstr "Sobre Alpaca"
|
||||
|
||||
#: src/window.ui:980 src/window.ui:999
|
||||
#: src/window.ui:987 src/window.ui:1006
|
||||
msgid "Rename Chat"
|
||||
msgstr "Renomear Conversa"
|
||||
|
||||
#: src/window.ui:984 src/window.ui:1003
|
||||
#: src/window.ui:991 src/window.ui:1010
|
||||
#, fuzzy
|
||||
msgid "Export Chat"
|
||||
msgstr "Importar conversa"
|
||||
|
||||
#: src/window.ui:988
|
||||
#: src/window.ui:995
|
||||
msgid "Clear Chat"
|
||||
msgstr "Limpar Conversa"
|
||||
|
||||
#: src/window.ui:995
|
||||
#: src/window.ui:1002
|
||||
msgid "Delete Chat"
|
||||
msgstr "Excluir Conversa"
|
||||
|
||||
#: src/window.ui:1011
|
||||
#: src/window.ui:1018
|
||||
msgid "From Existing Model"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:1015
|
||||
#: src/window.ui:1022
|
||||
msgid "From GGUF File (Experimental)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:1061
|
||||
#: src/window.ui:1068
|
||||
msgid "Close application"
|
||||
msgstr "Fechar aplicativo"
|
||||
|
||||
#: src/window.ui:1067
|
||||
#: src/window.ui:1074
|
||||
msgid "Import chat"
|
||||
msgstr "Importar conversa"
|
||||
|
||||
#: src/window.ui:1073
|
||||
#: src/window.ui:1080
|
||||
msgid "Clear chat"
|
||||
msgstr "Limpar chat"
|
||||
|
||||
#: src/window.ui:1085
|
||||
#: src/window.ui:1092
|
||||
msgid "New chat"
|
||||
msgstr "Nova conversa"
|
||||
|
||||
#: src/window.ui:1091
|
||||
#: src/window.ui:1098
|
||||
msgid "Show shortcuts window"
|
||||
msgstr "Mostrar janela de atalhos"
|
||||
|
||||
#: src/window.ui:1098
|
||||
#: src/window.ui:1105
|
||||
msgid "Editor"
|
||||
msgstr "Editor"
|
||||
|
||||
#: src/window.ui:1102
|
||||
#: src/window.ui:1109
|
||||
msgid "Copy"
|
||||
msgstr "Copiar"
|
||||
|
||||
#: src/window.ui:1108
|
||||
#: src/window.ui:1115
|
||||
msgid "Paste"
|
||||
msgstr "Colar"
|
||||
|
||||
#: src/window.ui:1114
|
||||
#: src/window.ui:1121
|
||||
msgid "Insert new line"
|
||||
msgstr ""
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Parar Modelo"
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Send message"
|
||||
#~ msgstr "Enviar Mensagem"
|
||||
|
||||
507
po/ru.po
507
po/ru.po
@ -7,7 +7,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"POT-Creation-Date: 2024-07-07 17:40-0600\n"
|
||||
"PO-Revision-Date: 2024-05-25 10:44+0800\n"
|
||||
"Last-Translator: (YOUR NAME) <(EMAIL OPTIONAL)>\n"
|
||||
"Language-Team: Russian\n"
|
||||
@ -1114,6 +1114,511 @@ msgstr "Вставить"
|
||||
msgid "Insert new line"
|
||||
msgstr "Вставить новую строку"
|
||||
|
||||
#: src/available_models_descriptions.py:2
|
||||
msgid "Google Gemma 2 is now available in 2 sizes, 9B and 27B."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:3
|
||||
msgid "Meta Llama 3: The most capable openly available LLM to date"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:4
|
||||
msgid "Qwen2 is a new series of large language models from Alibaba group"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:5
|
||||
msgid ""
|
||||
"An open-source Mixture-of-Experts code language model that achieves "
|
||||
"performance comparable to GPT4-Turbo in code-specific tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:6
|
||||
msgid ""
|
||||
"Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art "
|
||||
"open models by Microsoft."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:7
|
||||
msgid ""
|
||||
"Aya 23, released by Cohere, is a new family of state-of-the-art, "
|
||||
"multilingual models that support 23 languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:8
|
||||
msgid "The 7B model released by Mistral AI, updated to version 0.3."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:9
|
||||
msgid ""
|
||||
"A set of Mixture of Experts (MoE) model with open weights by Mistral AI in "
|
||||
"8x7b and 8x22b parameter sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:10
|
||||
msgid ""
|
||||
"CodeGemma is a collection of powerful, lightweight models that can perform a "
|
||||
"variety of coding tasks like fill-in-the-middle code completion, code "
|
||||
"generation, natural language understanding, mathematical reasoning, and "
|
||||
"instruction following."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:11
|
||||
msgid ""
|
||||
"Command R is a Large Language Model optimized for conversational interaction "
|
||||
"and long context tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:12
|
||||
msgid ""
|
||||
"Command R+ is a powerful, scalable large language model purpose-built to "
|
||||
"excel at real-world enterprise use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:13
|
||||
msgid ""
|
||||
"🌋 LLaVA is a novel end-to-end trained large multimodal model that combines "
|
||||
"a vision encoder and Vicuna for general-purpose visual and language "
|
||||
"understanding. Updated to version 1.6."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:14
|
||||
msgid ""
|
||||
"Gemma is a family of lightweight, state-of-the-art open models built by "
|
||||
"Google DeepMind. Updated to version 1.1"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:15
|
||||
msgid ""
|
||||
"Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from "
|
||||
"0.5B to 110B parameters"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:16
|
||||
msgid ""
|
||||
"Llama 2 is a collection of foundation language models ranging from 7B to 70B "
|
||||
"parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:17
|
||||
msgid ""
|
||||
"A large language model that can use text prompts to generate and discuss "
|
||||
"code."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:18
|
||||
msgid ""
|
||||
"Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of "
|
||||
"experts models that excels at coding tasks. Created by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:19
|
||||
msgid "Uncensored Llama 2 model by George Sung and Jarrad Hope."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:20
|
||||
msgid ""
|
||||
"DeepSeek Coder is a capable coding model trained on two trillion code and "
|
||||
"natural language tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:21
|
||||
msgid ""
|
||||
"A high-performing open embedding model with a large token context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:22
|
||||
msgid ""
|
||||
"Phi-2: a 2.7B language model by Microsoft Research that demonstrates "
|
||||
"outstanding reasoning and language understanding capabilities."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:23
|
||||
msgid ""
|
||||
"The uncensored Dolphin model based on Mistral that excels at coding tasks. "
|
||||
"Updated to version 2.8."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:24
|
||||
msgid ""
|
||||
"Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the "
|
||||
"Mistral 7B model using the OpenOrca dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:25
|
||||
msgid ""
|
||||
"A general-purpose model ranging from 3 billion parameters to 70 billion, "
|
||||
"suitable for entry-level hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:26
|
||||
msgid "State-of-the-art large embedding model from mixedbread.ai"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:27
|
||||
msgid ""
|
||||
"Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on "
|
||||
"Llama 3 that has a variety of instruction, conversational, and coding skills."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:28
|
||||
msgid ""
|
||||
"StarCoder2 is the next generation of transparently trained open code LLMs "
|
||||
"that comes in three sizes: 3B, 7B and 15B parameters."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:29
|
||||
msgid "Llama 2 based model fine tuned to improve Chinese dialogue ability."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:30
|
||||
msgid ""
|
||||
"Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models "
|
||||
"that are trained to act as helpful assistants."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:31
|
||||
msgid "Yi 1.5 is a high-performing, bilingual language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:32
|
||||
msgid ""
|
||||
"The powerful family of models by Nous Research that excels at scientific "
|
||||
"discussion and coding tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:33
|
||||
msgid ""
|
||||
"General use chat model based on Llama and Llama 2 with 2K to 16K context "
|
||||
"sizes."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:34
|
||||
msgid ""
|
||||
"Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on "
|
||||
"Llama 2 uncensored by Eric Hartford."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:35
|
||||
msgid ""
|
||||
"The TinyLlama project is an open endeavor to train a compact 1.1B Llama "
|
||||
"model on 3 trillion tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:36
|
||||
msgid ""
|
||||
"State of the art large language model from Microsoft AI with improved "
|
||||
"performance on complex chat, multilingual, reasoning and agent use cases."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:37
|
||||
msgid ""
|
||||
"StarCoder is a code generation model trained on 80+ programming languages."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:38
|
||||
msgid ""
|
||||
"Codestral is Mistral AI’s first-ever code model designed for code generation "
|
||||
"tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:39
|
||||
msgid ""
|
||||
"A family of open-source models trained on a wide variety of data, surpassing "
|
||||
"ChatGPT on various benchmarks. Updated to version 3.5-0106."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:40
|
||||
msgid ""
|
||||
"An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset "
|
||||
"by Eric Hartford and based on TinyLlama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:41
|
||||
msgid ""
|
||||
"OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully "
|
||||
"open datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:42
|
||||
msgid "State-of-the-art code generation model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:43
|
||||
msgid ""
|
||||
"Stable Code 3B is a coding model with instruct and code completion variants "
|
||||
"on par with models such as Code Llama 7B that are 2.5x larger."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:44
|
||||
msgid ""
|
||||
"A fine-tuned model based on Mistral with good coverage of domain and "
|
||||
"language."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:45
|
||||
msgid "Model focused on math and logic problems"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:46
|
||||
msgid ""
|
||||
"CodeQwen1.5 is a large language model pretrained on a large amount of code "
|
||||
"data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:47
|
||||
msgid "Code generation model based on Code Llama."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:48
|
||||
msgid ""
|
||||
"Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model "
|
||||
"trained on multilingual data in English, Spanish, German, Italian, French, "
|
||||
"Portuguese, and Dutch."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:49
|
||||
msgid ""
|
||||
"A 7B and 15B uncensored variant of the Dolphin model family that excels at "
|
||||
"coding, based on StarCoder2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:50
|
||||
msgid "Embedding models on very large sentence level datasets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:51
|
||||
msgid "General use models based on Llama and Llama 2 from Nous Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:52
|
||||
msgid ""
|
||||
"Starling is a large language model trained by reinforcement learning from AI "
|
||||
"feedback focused on improving chatbot helpfulness."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:53
|
||||
msgid ""
|
||||
"SQLCoder is a code completion model fined-tuned on StarCoder for SQL "
|
||||
"generation tasks"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:54
|
||||
msgid ""
|
||||
"Orca 2 is built by Microsoft research, and are a fine-tuned version of "
|
||||
"Meta's Llama 2 models. The model is designed to excel particularly in "
|
||||
"reasoning."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:55
|
||||
msgid ""
|
||||
"This model extends LLama-3 8B's context length from 8k to over 1m tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:56
|
||||
msgid "An advanced language model crafted with 2 trillion bilingual tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:57
|
||||
msgid "An extension of Llama 2 that supports a context of up to 128k tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:58
|
||||
msgid ""
|
||||
"A model from NVIDIA based on Llama 3 that excels at conversational question "
|
||||
"answering (QA) and retrieval-augmented generation (RAG)."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:59
|
||||
msgid ""
|
||||
"A compact, yet powerful 10.7B large language model designed for single-turn "
|
||||
"conversation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:60
|
||||
msgid ""
|
||||
"Conversational model based on Llama 2 that performs competitively on various "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:61
|
||||
msgid "A family of open foundation models by IBM for Code Intelligence"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:62
|
||||
msgid ""
|
||||
"2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language "
|
||||
"model by Microsoft Research."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:63
|
||||
msgid "General use model based on Llama 2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:64
|
||||
msgid ""
|
||||
"A companion assistant trained in philosophy, psychology, and personal "
|
||||
"relationships. Based on Mistral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:65
|
||||
msgid ""
|
||||
"Llama 2 based model fine tuned on an Orca-style dataset. Originally called "
|
||||
"Free Willy."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:66
|
||||
msgid ""
|
||||
"BakLLaVA is a multimodal model consisting of the Mistral 7B base model "
|
||||
"augmented with the LLaVA architecture."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:67
|
||||
msgid ""
|
||||
"A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several "
|
||||
"benchmarks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:68
|
||||
msgid "Uncensored version of Wizard LM model"
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:69
|
||||
msgid ""
|
||||
"Fine-tuned Llama 2 model to answer medical questions based on an open source "
|
||||
"medical dataset."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:70
|
||||
msgid "The Nous Hermes 2 model from Nous Research, now trained over Mixtral."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:71
|
||||
msgid "An extension of Mistral to support context windows of 64K or 128K."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:72
|
||||
msgid ""
|
||||
"A suite of text embedding models by Snowflake, optimized for performance."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:73
|
||||
msgid ""
|
||||
"An expansion of Llama 2 that specializes in integrating both general "
|
||||
"language understanding and domain-specific knowledge, particularly in "
|
||||
"programming and mathematics."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:74
|
||||
msgid "Great code generation model based on Llama2."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:75
|
||||
msgid ""
|
||||
"Open-source medical large language model adapted from Llama 2 to the medical "
|
||||
"domain."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:76
|
||||
msgid ""
|
||||
"moondream2 is a small vision language model designed to run efficiently on "
|
||||
"edge devices."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:77
|
||||
msgid "Uncensored Llama2 based model with support for a 16K context window."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:78
|
||||
msgid ""
|
||||
"Nexus Raven is a 13B instruction tuned model for function calling tasks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:79
|
||||
msgid ""
|
||||
"🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic "
|
||||
"instruction data using OSS-Instruct, a novel approach to enlightening LLMs "
|
||||
"with open-source code snippets."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:80
|
||||
msgid "A strong, economical, and efficient Mixture-of-Experts language model."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:81
|
||||
msgid ""
|
||||
"A lightweight chat model allowing accurate, and responsive output without "
|
||||
"requiring high-end hardware."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:82
|
||||
msgid ""
|
||||
"A high-performing code instruct model created by merging two existing code "
|
||||
"models."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:83
|
||||
msgid "A new small LLaVA model fine-tuned from Phi 3 Mini."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:84
|
||||
msgid ""
|
||||
"MistralLite is a fine-tuned model based on Mistral with enhanced "
|
||||
"capabilities of processing long contexts."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:85
|
||||
msgid ""
|
||||
"Wizard Vicuna is a 13B parameter model based on Llama 2 trained by "
|
||||
"MelodysDreamj."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:86
|
||||
msgid "7B parameter text-to-SQL model made by MotherDuck and Numbers Station."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:87
|
||||
msgid ""
|
||||
"A language model created by combining two fine-tuned Llama 2 70B models into "
|
||||
"one."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:88
|
||||
msgid ""
|
||||
"MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by "
|
||||
"interleaving the model with itself."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:89
|
||||
msgid ""
|
||||
"Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. "
|
||||
"Designed for chat and code generation."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:90
|
||||
msgid ""
|
||||
"A top-performing mixture of experts model, fine-tuned with high-quality data."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:91
|
||||
msgid "A 7B chat model fine-tuned with high-quality data and based on Zephyr."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:92
|
||||
msgid "DBRX is an open, general-purpose LLM created by Databricks."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:93
|
||||
msgid ""
|
||||
"Falcon2 is an 11B parameters causal decoder-only model built by TII and "
|
||||
"trained over 5T tokens."
|
||||
msgstr ""
|
||||
|
||||
#: src/available_models_descriptions.py:94
|
||||
msgid ""
|
||||
"A robust conversational model designed to be used for both chat and instruct "
|
||||
"use cases."
|
||||
msgstr ""
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Остановить Модель"
|
||||
|
||||
179
po/ru.po~
179
po/ru.po~
@ -6,8 +6,8 @@
|
||||
msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: 1.0.0\n"
|
||||
"Report-Msgid-Bugs-To: https://github.com/Jeffser/Alpaca\n"
|
||||
"POT-Creation-Date: 2024-07-02 18:21-0600\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2024-07-07 16:04-0600\n"
|
||||
"PO-Revision-Date: 2024-05-25 10:44+0800\n"
|
||||
"Last-Translator: (YOUR NAME) <(EMAIL OPTIONAL)>\n"
|
||||
"Language-Team: Russian\n"
|
||||
@ -73,7 +73,7 @@ msgstr ""
|
||||
msgid "Import and export chats"
|
||||
msgstr "Импорт чата"
|
||||
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:853
|
||||
#: data/com.jeffser.Alpaca.metainfo.xml.in:21 src/window.ui:860
|
||||
msgid "Disclaimer"
|
||||
msgstr "Отказ от ответственности"
|
||||
|
||||
@ -665,7 +665,7 @@ msgstr ""
|
||||
msgid "This is the first public version of Alpaca"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:58 src/window.py:1053 src/window.py:1115 src/window.ui:41
|
||||
#: src/window.py:58 src/window.py:1083 src/window.py:1145 src/window.ui:41
|
||||
msgid "New Chat"
|
||||
msgstr "Новый Чат"
|
||||
|
||||
@ -760,72 +760,72 @@ msgstr "Чат успешно экспортирован"
|
||||
msgid "Chat imported successfully"
|
||||
msgstr "Чат успешно импортирован"
|
||||
|
||||
#: src/window.py:278
|
||||
#: src/window.py:280
|
||||
msgid "Close"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:279 src/window.ui:806
|
||||
#: src/window.py:281 src/window.ui:813
|
||||
msgid "Next"
|
||||
msgstr "Следующий"
|
||||
|
||||
#: src/window.py:329
|
||||
#: src/window.py:332
|
||||
#, fuzzy
|
||||
msgid "Pulling in the background..."
|
||||
msgstr "Запуск в фоновом режиме"
|
||||
|
||||
#: src/window.py:381
|
||||
#: src/window.py:384
|
||||
msgid "Stop Creating '{}'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:418
|
||||
#: src/window.py:421
|
||||
#, fuzzy
|
||||
msgid "image"
|
||||
msgstr "Изображение"
|
||||
|
||||
#: src/window.py:588
|
||||
#: src/window.py:593
|
||||
#, fuzzy
|
||||
msgid "Remove Message"
|
||||
msgstr "Удалить Изображение"
|
||||
|
||||
#: src/window.py:593 src/window.py:841
|
||||
#: src/window.py:598 src/window.py:869
|
||||
#, fuzzy
|
||||
msgid "Copy Message"
|
||||
msgstr "Отправить Сообщение"
|
||||
|
||||
#: src/window.py:598
|
||||
#: src/window.py:603
|
||||
#, fuzzy
|
||||
msgid "Edit Message"
|
||||
msgstr "Отправить Сообщение"
|
||||
|
||||
#: src/window.py:729
|
||||
#: src/window.py:661
|
||||
msgid "Missing Image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:677
|
||||
msgid "Missing image"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:757
|
||||
msgid "Remove '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "Message Received"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:882
|
||||
msgid "New message from '{}'"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Task Complete"
|
||||
msgstr "Задача выполнена"
|
||||
|
||||
#: src/window.py:939
|
||||
#: src/window.py:969
|
||||
msgid "Model '{}' pulled successfully."
|
||||
msgstr "Модель '{}' успешно извлечена."
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Pull Model Error"
|
||||
msgstr "Ошибка Извлечения Модели"
|
||||
|
||||
#: src/window.py:944
|
||||
#: src/window.py:974
|
||||
msgid "Failed to pull model '{}' due to network error."
|
||||
msgstr "Не удалось извлечь модель '{}' из-за сетевой ошибки."
|
||||
|
||||
#: src/window.py:978
|
||||
#: src/window.py:1008
|
||||
msgid "Stop Pulling '{} ({})'"
|
||||
msgstr ""
|
||||
|
||||
@ -837,7 +837,7 @@ msgstr "Меню"
|
||||
msgid "Toggle Sidebar"
|
||||
msgstr "Переключение боковой панели"
|
||||
|
||||
#: src/window.ui:107 src/window.ui:595
|
||||
#: src/window.ui:107 src/window.ui:587
|
||||
#, fuzzy
|
||||
msgid "Manage Models"
|
||||
msgstr "Управление моделями"
|
||||
@ -851,29 +851,29 @@ msgstr "Меню"
|
||||
msgid "Attach File"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:238 src/window.ui:1120
|
||||
#: src/window.ui:242 src/window.ui:1127
|
||||
msgid "Send Message"
|
||||
msgstr "Отправить Сообщение"
|
||||
|
||||
#: src/window.ui:286 src/window.ui:965 src/window.ui:1079
|
||||
#: src/window.ui:290 src/window.ui:972 src/window.ui:1086
|
||||
msgid "Preferences"
|
||||
msgstr "Настройки"
|
||||
|
||||
#: src/window.ui:289 src/window.ui:1057
|
||||
#: src/window.ui:293 src/window.ui:1064
|
||||
msgid "General"
|
||||
msgstr "Общие"
|
||||
|
||||
#: src/window.ui:297
|
||||
#: src/window.ui:299
|
||||
#, fuzzy
|
||||
msgid "Use Remote Connection to Ollama"
|
||||
msgstr "Управление удаленным подключением к Ollama"
|
||||
|
||||
#: src/window.ui:303
|
||||
#: src/window.ui:305
|
||||
#, fuzzy
|
||||
msgid "URL of Remote Instance"
|
||||
msgstr "URL-адрес удаленного экземпляра"
|
||||
|
||||
#: src/window.ui:310
|
||||
#: src/window.ui:312
|
||||
msgid "Bearer Token (Optional)"
|
||||
msgstr ""
|
||||
|
||||
@ -882,124 +882,125 @@ msgstr ""
|
||||
msgid "Run Alpaca In Background"
|
||||
msgstr "Запуск в фоновом режиме"
|
||||
|
||||
#: src/window.ui:331
|
||||
#, fuzzy
|
||||
msgid "Model"
|
||||
msgstr "Остановить Модель"
|
||||
|
||||
#: src/window.ui:341
|
||||
#: src/window.ui:333
|
||||
#, fuzzy
|
||||
msgid "Temperature"
|
||||
msgstr "Новый Чат"
|
||||
|
||||
#: src/window.ui:342
|
||||
#: src/window.ui:334
|
||||
msgid ""
|
||||
"The temperature of the model. Increasing the temperature will make the model "
|
||||
"answer more creatively. (Default: 0.8)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:357
|
||||
#: src/window.ui:349
|
||||
msgid "Seed"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:358
|
||||
#: src/window.ui:350
|
||||
msgid ""
|
||||
"Sets the random number seed to use for generation. Setting this to a "
|
||||
"specific number will make the model generate the same text for the same "
|
||||
"prompt. (Default: 0 (random))"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:372
|
||||
#: src/window.ui:364
|
||||
msgid "Keep Alive Time"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:373
|
||||
#: src/window.ui:365
|
||||
msgid ""
|
||||
"Controls how long the model will stay loaded into memory following the "
|
||||
"request in minutes (Default: 5)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:389
|
||||
#: src/window.ui:381
|
||||
#, fuzzy
|
||||
msgid "Ollama Instance"
|
||||
msgstr "Веб-сайт Ollama"
|
||||
|
||||
#: src/window.ui:393
|
||||
#: src/window.ui:385
|
||||
#, fuzzy
|
||||
msgid "Ollama Overrides"
|
||||
msgstr "Веб-сайт Ollama"
|
||||
|
||||
#: src/window.ui:394
|
||||
#: src/window.ui:386
|
||||
msgid ""
|
||||
"Manage the arguments used on Ollama, any changes on this page only applies "
|
||||
"to the integrated instance, the instance will restart if you make changes."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:477
|
||||
#: src/window.ui:469
|
||||
msgid "Create"
|
||||
msgstr "Создать"
|
||||
|
||||
#: src/window.ui:490 src/window.ui:605
|
||||
#: src/window.ui:482 src/window.ui:597
|
||||
#, fuzzy
|
||||
msgid "Create Model"
|
||||
msgstr "Удалить Модель"
|
||||
|
||||
#: src/window.ui:516
|
||||
#: src/window.ui:508
|
||||
msgid "Base"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:534
|
||||
#: src/window.ui:526
|
||||
msgid "Name"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:540
|
||||
#: src/window.ui:532
|
||||
msgid "Context"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:555
|
||||
#: src/window.ui:547
|
||||
msgid "Template"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:561
|
||||
#: src/window.ui:553
|
||||
msgid ""
|
||||
"Some models require a specific template. Please visit the model's website "
|
||||
"for more information if you're unsure."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:612
|
||||
#: src/window.ui:604
|
||||
#, fuzzy
|
||||
msgid "Search Model"
|
||||
msgstr "Остановить Модель"
|
||||
|
||||
#: src/window.ui:672
|
||||
#: src/window.ui:664
|
||||
msgid "No Models Found"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:673
|
||||
#: src/window.ui:665
|
||||
msgid "Try a different search"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:738
|
||||
#: src/window.ui:708
|
||||
msgid ""
|
||||
"By downloading this model you accept the license agreement available on the "
|
||||
"model's website."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:745
|
||||
msgid "Open with Default App"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:790
|
||||
#: src/window.ui:797
|
||||
msgid "Previous"
|
||||
msgstr "Предыдущий"
|
||||
|
||||
#: src/window.ui:833
|
||||
#: src/window.ui:840
|
||||
msgid "Welcome to Alpaca"
|
||||
msgstr "Добро пожаловать в Alpaca"
|
||||
|
||||
#: src/window.ui:834
|
||||
#: src/window.ui:841
|
||||
msgid "Powered by Ollama"
|
||||
msgstr "При поддержке Ollama"
|
||||
|
||||
#: src/window.ui:837
|
||||
#: src/window.ui:844
|
||||
msgid "Ollama Website"
|
||||
msgstr "Веб-сайт Ollama"
|
||||
|
||||
#: src/window.ui:854
|
||||
#: src/window.ui:861
|
||||
msgid ""
|
||||
"Alpaca and its developers are not liable for any damages to devices or "
|
||||
"software resulting from the execution of code generated by an AI model. "
|
||||
@ -1011,108 +1012,112 @@ msgstr ""
|
||||
"Пожалуйста, будьте осторожны и внимательно ознакомьтесь с кодом перед его "
|
||||
"запуском."
|
||||
|
||||
#: src/window.ui:865
|
||||
#: src/window.ui:872
|
||||
#, fuzzy
|
||||
msgid "Featured Models"
|
||||
msgstr "Удалить Модель"
|
||||
|
||||
#: src/window.ui:866
|
||||
#: src/window.ui:873
|
||||
msgid ""
|
||||
"Alpaca works locally on your device, to start chatting you'll need an AI "
|
||||
"model, you can either pull models from this list or the 'Manage Models' menu "
|
||||
"later."
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:876
|
||||
#: src/window.ui:883
|
||||
msgid "Built by Meta"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:894
|
||||
#: src/window.ui:901
|
||||
msgid "Built by Google DeepMind"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:912
|
||||
#: src/window.ui:919
|
||||
msgid "Built by Microsoft"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:930
|
||||
#: src/window.ui:937
|
||||
msgid "Multimodal AI with image recognition"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:959
|
||||
#: src/window.ui:966
|
||||
#, fuzzy
|
||||
msgid "Import Chat"
|
||||
msgstr "Импорт чата"
|
||||
|
||||
#: src/window.ui:969
|
||||
#: src/window.ui:976
|
||||
msgid "Keyboard Shortcuts"
|
||||
msgstr "Комбинации Клавиш"
|
||||
|
||||
#: src/window.ui:973
|
||||
#: src/window.ui:980
|
||||
msgid "About Alpaca"
|
||||
msgstr "О Программе"
|
||||
|
||||
#: src/window.ui:980 src/window.ui:999
|
||||
#: src/window.ui:987 src/window.ui:1006
|
||||
msgid "Rename Chat"
|
||||
msgstr "Переименовать Чат"
|
||||
|
||||
#: src/window.ui:984 src/window.ui:1003
|
||||
#: src/window.ui:991 src/window.ui:1010
|
||||
#, fuzzy
|
||||
msgid "Export Chat"
|
||||
msgstr "Экспорт чата"
|
||||
|
||||
#: src/window.ui:988
|
||||
#: src/window.ui:995
|
||||
msgid "Clear Chat"
|
||||
msgstr "Очистить Чат"
|
||||
|
||||
#: src/window.ui:995
|
||||
#: src/window.ui:1002
|
||||
msgid "Delete Chat"
|
||||
msgstr "Удалить Чат"
|
||||
|
||||
#: src/window.ui:1011
|
||||
#: src/window.ui:1018
|
||||
msgid "From Existing Model"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:1015
|
||||
#: src/window.ui:1022
|
||||
msgid "From GGUF File (Experimental)"
|
||||
msgstr ""
|
||||
|
||||
#: src/window.ui:1061
|
||||
#: src/window.ui:1068
|
||||
msgid "Close application"
|
||||
msgstr "Закрыть приложение"
|
||||
|
||||
#: src/window.ui:1067
|
||||
#: src/window.ui:1074
|
||||
msgid "Import chat"
|
||||
msgstr "Импорт чата"
|
||||
|
||||
#: src/window.ui:1073
|
||||
#: src/window.ui:1080
|
||||
msgid "Clear chat"
|
||||
msgstr "Очистить чат"
|
||||
|
||||
#: src/window.ui:1085
|
||||
#: src/window.ui:1092
|
||||
msgid "New chat"
|
||||
msgstr "Новый чат"
|
||||
|
||||
#: src/window.ui:1091
|
||||
#: src/window.ui:1098
|
||||
msgid "Show shortcuts window"
|
||||
msgstr "Показать окно комбинаций клавиш"
|
||||
|
||||
#: src/window.ui:1098
|
||||
#: src/window.ui:1105
|
||||
msgid "Editor"
|
||||
msgstr "Редактор"
|
||||
|
||||
#: src/window.ui:1102
|
||||
#: src/window.ui:1109
|
||||
msgid "Copy"
|
||||
msgstr "Копировать"
|
||||
|
||||
#: src/window.ui:1108
|
||||
#: src/window.ui:1115
|
||||
msgid "Paste"
|
||||
msgstr "Вставить"
|
||||
|
||||
#: src/window.ui:1114
|
||||
#: src/window.ui:1121
|
||||
msgid "Insert new line"
|
||||
msgstr "Вставить новую строку"
|
||||
|
||||
#, fuzzy
|
||||
#~ msgid "Model"
|
||||
#~ msgstr "Остановить Модель"
|
||||
|
||||
#~ msgctxt "shortcut window"
|
||||
#~ msgid "General"
|
||||
#~ msgstr "Общие"
|
||||
|
||||
95
src/available_models_descriptions.py
Normal file
95
src/available_models_descriptions.py
Normal file
@ -0,0 +1,95 @@
|
||||
descriptions = {
|
||||
'gemma2': _("Google Gemma 2 is now available in 2 sizes, 9B and 27B."),
|
||||
'llama3': _("Meta Llama 3: The most capable openly available LLM to date"),
|
||||
'qwen2': _("Qwen2 is a new series of large language models from Alibaba group"),
|
||||
'deepseek-coder-v2': _("An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks."),
|
||||
'phi3': _("Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft."),
|
||||
'aya': _("Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages."),
|
||||
'mistral': _("The 7B model released by Mistral AI, updated to version 0.3."),
|
||||
'mixtral': _("A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes."),
|
||||
'codegemma': _("CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following."),
|
||||
'command-r': _("Command R is a Large Language Model optimized for conversational interaction and long context tasks."),
|
||||
'command-r-plus': _("Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases."),
|
||||
'llava': _("🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6."),
|
||||
'gemma': _("Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1"),
|
||||
'qwen': _("Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters"),
|
||||
'llama2': _("Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters."),
|
||||
'codellama': _("A large language model that can use text prompts to generate and discuss code."),
|
||||
'dolphin-mixtral': _("Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford."),
|
||||
'llama2-uncensored': _("Uncensored Llama 2 model by George Sung and Jarrad Hope."),
|
||||
'deepseek-coder': _("DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens."),
|
||||
'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
|
||||
'phi': _("Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities."),
|
||||
'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
|
||||
'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
|
||||
'orca-mini': _("A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware."),
|
||||
'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
|
||||
'dolphin-llama3': _("Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills."),
|
||||
'starcoder2': _("StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters."),
|
||||
'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
|
||||
'zephyr': _("Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants."),
|
||||
'yi': _("Yi 1.5 is a high-performing, bilingual language model."),
|
||||
'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
|
||||
'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
|
||||
'wizard-vicuna-uncensored': _("Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford."),
|
||||
'tinyllama': _("The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens."),
|
||||
'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
|
||||
'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
|
||||
'codestral': _("Codestral is Mistral AI’s first-ever code model designed for code generation tasks."),
|
||||
'openchat': _("A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106."),
|
||||
'tinydolphin': _("An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama."),
|
||||
'openhermes': _("OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets."),
|
||||
'wizardcoder': _("State-of-the-art code generation model"),
|
||||
'stable-code': _("Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger."),
|
||||
'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
|
||||
'wizard-math': _("Model focused on math and logic problems"),
|
||||
'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
|
||||
'phind-codellama': _("Code generation model based on Code Llama."),
|
||||
'stablelm2': _("Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch."),
|
||||
'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
|
||||
'all-minilm': _("Embedding models on very large sentence level datasets."),
|
||||
'nous-hermes': _("General use models based on Llama and Llama 2 from Nous Research."),
|
||||
'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
|
||||
'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
|
||||
'orca2': _("Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning."),
|
||||
'llama3-gradient': _("This model extends LLama-3 8B's context length from 8k to over 1m tokens."),
|
||||
'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
|
||||
'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
|
||||
'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
|
||||
'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
|
||||
'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
|
||||
'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
|
||||
'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
|
||||
'wizardlm': _("General use model based on Llama 2."),
|
||||
'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
|
||||
'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
|
||||
'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
|
||||
'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
|
||||
'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
|
||||
'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
|
||||
'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
|
||||
'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
|
||||
'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
|
||||
'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
|
||||
'codeup': _("Great code generation model based on Llama2."),
|
||||
'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
|
||||
'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
|
||||
'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
|
||||
'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
|
||||
'magicoder': _("🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets."),
|
||||
'deepseek-v2': _("A strong, economical, and efficient Mixture-of-Experts language model."),
|
||||
'stablelm-zephyr': _("A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware."),
|
||||
'codebooga': _("A high-performing code instruct model created by merging two existing code models."),
|
||||
'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
|
||||
'mistrallite': _("MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts."),
|
||||
'wizard-vicuna': _("Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj."),
|
||||
'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
|
||||
'goliath': _("A language model created by combining two fine-tuned Llama 2 70B models into one."),
|
||||
'megadolphin': _("MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself."),
|
||||
'open-orca-platypus2': _("Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation."),
|
||||
'notux': _("A top-performing mixture of experts model, fine-tuned with high-quality data."),
|
||||
'notus': _("A 7B chat model fine-tuned with high-quality data and based on Zephyr."),
|
||||
'dbrx': _("DBRX is an open, general-purpose LLM created by Databricks."),
|
||||
'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
|
||||
'alfred': _("A robust conversational model designed to be used for both chat and instruct use cases."),
|
||||
}
|
||||
@ -43,7 +43,8 @@ alpaca_sources = [
|
||||
'dialogs.py',
|
||||
'local_instance.py',
|
||||
'update_history.py',
|
||||
'available_models.json'
|
||||
'available_models.json',
|
||||
'available_models_descriptions.py'
|
||||
]
|
||||
|
||||
install_data(alpaca_sources, install_dir: moduledir)
|
||||
|
||||
@ -27,7 +27,7 @@ from io import BytesIO
|
||||
from PIL import Image
|
||||
from pypdf import PdfReader
|
||||
from datetime import datetime
|
||||
from . import dialogs, local_instance, connection_handler, update_history
|
||||
from . import dialogs, local_instance, connection_handler, update_history, available_models_descriptions
|
||||
|
||||
@Gtk.Template(resource_path='/com/jeffser/Alpaca/window.ui')
|
||||
class AlpacaWindow(Adw.ApplicationWindow):
|
||||
@ -1045,7 +1045,7 @@ Generate a title following these rules:
|
||||
for name, model_info in self.available_models.items():
|
||||
model = Adw.ActionRow(
|
||||
title = "<b>{}{}</b> <small>by {}</small>".format('🖼 ' if model_info["image"] else '', name.replace("-", " ").title(), model_info['author']),
|
||||
subtitle = model_info["description"], # + ("\n\n<span foreground='white' background='black' line_height='1.5'> Image Recognition </span>" if model_info["image"] else ""),
|
||||
subtitle = available_models_descriptions.descriptions[name], # + ("\n\n<span foreground='white' background='black' line_height='1.5'> Image Recognition </span>" if model_info["image"] else ""),
|
||||
#("<b>Image recognition capable</b>\n" if model_info["image"] else "") +
|
||||
#title = f"<b>{name.capitalize()}</b> <small>by {model_info['author']}</small>",
|
||||
#subtitle = f"<small>" + (_("(Image recognition capable)\n") if model_info["image"] else "") + f"{model_info['description']}</small>",
|
||||
|
||||
9
update_available_models_description.py
Normal file
9
update_available_models_description.py
Normal file
@ -0,0 +1,9 @@
|
||||
import json
|
||||
with open('src/available_models.json', 'r') as f:
|
||||
data = json.load(f)
|
||||
results = 'descriptions = {\n'
|
||||
for key, value in data.items():
|
||||
results += f" '{key}': _(\"{value['description']}\"),\n"
|
||||
results += '}'
|
||||
with open('src/available_models_descriptions.py', 'w+') as f:
|
||||
f.write(results)
|
||||
Loading…
x
Reference in New Issue
Block a user