95 lines
11 KiB
Python
95 lines
11 KiB
Python
descriptions = {
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'gemma2': _("Google Gemma 2 is now available in 2 sizes, 9B and 27B."),
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'llama3': _("Meta Llama 3: The most capable openly available LLM to date"),
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'qwen2': _("Qwen2 is a new series of large language models from Alibaba group"),
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'deepseek-coder-v2': _("An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks."),
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'phi3': _("Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft."),
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'aya': _("Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages."),
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'mistral': _("The 7B model released by Mistral AI, updated to version 0.3."),
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'mixtral': _("A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes."),
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'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."),
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'command-r': _("Command R is a Large Language Model optimized for conversational interaction and long context tasks."),
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'command-r-plus': _("Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases."),
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'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."),
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'gemma': _("Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1"),
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'qwen': _("Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters"),
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'llama2': _("Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters."),
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'codellama': _("A large language model that can use text prompts to generate and discuss code."),
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'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."),
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'llama2-uncensored': _("Uncensored Llama 2 model by George Sung and Jarrad Hope."),
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'deepseek-coder': _("DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens."),
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'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
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'phi': _("Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities."),
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'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
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'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
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'orca-mini': _("A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware."),
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'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
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'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."),
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'starcoder2': _("StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters."),
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'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
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'zephyr': _("Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants."),
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'yi': _("Yi 1.5 is a high-performing, bilingual language model."),
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'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
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'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
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'wizard-vicuna-uncensored': _("Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford."),
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'tinyllama': _("The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens."),
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'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
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'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
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'codestral': _("Codestral is Mistral AI’s first-ever code model designed for code generation tasks."),
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'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."),
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'tinydolphin': _("An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama."),
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'openhermes': _("OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets."),
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'wizardcoder': _("State-of-the-art code generation model"),
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'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."),
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'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
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'wizard-math': _("Model focused on math and logic problems"),
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'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
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'phind-codellama': _("Code generation model based on Code Llama."),
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'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."),
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'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
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'all-minilm': _("Embedding models on very large sentence level datasets."),
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'nous-hermes': _("General use models based on Llama and Llama 2 from Nous Research."),
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'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
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'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
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'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."),
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'llama3-gradient': _("This model extends LLama-3 8B's context length from 8k to over 1m tokens."),
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'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
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'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
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'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
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'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
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'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
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'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
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'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
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'wizardlm': _("General use model based on Llama 2."),
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'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
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'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
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'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
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'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
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'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
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'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
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'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
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'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
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'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
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'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
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'codeup': _("Great code generation model based on Llama2."),
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'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
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'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
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'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
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'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
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'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."),
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'deepseek-v2': _("A strong, economical, and efficient Mixture-of-Experts language model."),
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'stablelm-zephyr': _("A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware."),
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'codebooga': _("A high-performing code instruct model created by merging two existing code models."),
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'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
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'mistrallite': _("MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts."),
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'wizard-vicuna': _("Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj."),
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'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
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'goliath': _("A language model created by combining two fine-tuned Llama 2 70B models into one."),
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'megadolphin': _("MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself."),
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'open-orca-platypus2': _("Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation."),
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'notux': _("A top-performing mixture of experts model, fine-tuned with high-quality data."),
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'notus': _("A 7B chat model fine-tuned with high-quality data and based on Zephyr."),
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'dbrx': _("DBRX is an open, general-purpose LLM created by Databricks."),
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'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
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'alfred': _("A robust conversational model designed to be used for both chat and instruct use cases."),
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} |