from dataclasses import dataclass from datetime import datetime from enum import Enum class LMStyle(Enum): OpenAIChat = "OpenAIChat" OpenAIReasonPreview = "OpenAIReasonPreview" OpenAIReason = "OpenAIReason" Claude = "Claude" # Claude 1 and Claude 2 Claude3 = "Claude3" Claude3Thinking = "Claude3Thinking" Gemini = "Gemini" GeminiThinking = "GeminiThinking" Grok = "Grok" MistralWeb = "MistralWeb" CohereCommand = "CohereCommand" DataBricks = "DataBricks" DeepSeekAPI = "DeepSeekAPI" GenericBase = "GenericBase" DeepSeekCodeInstruct = "DeepSeekCodeInstruct" CodeLLaMaInstruct = "CodeLLaMaInstruct" StarCoderInstruct = "StarCoderInstruct" CodeQwenInstruct = "CodeQwenInstruct" QwQ = "QwQ" LLaMa3 = "LLaMa3" DeepSeekR1 = "DeepSeekR1" TogetherAI = "TogetherAI" @dataclass class LanguageModel: model_name: str model_repr: str model_style: LMStyle release_date: datetime | None # XXX Should we use timezone.utc? link: str | None = None def __hash__(self) -> int: return hash(self.model_name) def to_dict(self) -> dict: return { "model_name": self.model_name, "model_repr": self.model_repr, "model_style": self.model_style.value, "release_date": int(self.release_date.timestamp() * 1000), "link": self.link, } LanguageModelList: list[LanguageModel] = [ ## LLama3 Base (8B and 70B) LanguageModel( "meta-llama/Meta-Llama-3-8B", "LLama3-8b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Meta-Llama-3-8B", ), LanguageModel( "meta-llama/Meta-Llama-3-70B", "LLama3-70b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Meta-Llama-3-70B", ), ## LLama3 Instruct (8B and 70B) LanguageModel( "meta-llama/Meta-Llama-3-8B-Instruct", "LLama3-8b-Ins", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct", ), LanguageModel( "meta-llama/Meta-Llama-3-70B-Instruct", "LLama3-70b-Ins", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", ), ## LLama3.1 Base (8B, 70B, 405B) LanguageModel( "meta-llama/Llama-3.1-8B", "LLama3.1-8b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-8B", ), LanguageModel( "meta-llama/Llama-3.1-70B", "LLama3.1-70b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-70B", ), LanguageModel( "meta-llama/Llama-3.1-405B-FP8", "LLama3.1-405b-Base-FP8", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-405B-FP8", ), ## LLama3.1 Instruct (8B, 70B, 405B) LanguageModel( "meta-llama/Llama-3.1-8B-Instruct", "LLama3.1-8b-Ins", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct", ), LanguageModel( "meta-llama/Llama-3.1-70B-Instruct", "LLama3.1-70b-Ins", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct", ), LanguageModel( "meta-llama/Llama-3.1-405B-Instruct-FP8", "LLama3.1-405b-Ins-FP8", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct-FP8", ), ## LLama3.3 Instruct (8B, 70B) # LanguageModel( # "meta-llama/Llama-3.3-8B-Instruct", # Has been removed from HuggingFace by meta-llama # "LLama3.3-8b-Ins", # LMStyle.LLaMa3, # datetime(2023, 1, 1), # link="https://huggingface.co/meta-llama/Llama-3.3-8B-Instruct", # ), LanguageModel( "meta-llama/Llama-3.3-70B-Instruct", "LLama3.3-70b-Ins", LMStyle.LLaMa3, datetime(2023, 1, 1), link="https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct", ), ## Deepseek-Coder Base (33B, 6.7B, 1.3B) LanguageModel( "deepseek-ai/deepseek-coder-33b-base", "DSCoder-33b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-33b-base", ), LanguageModel( "deepseek-ai/deepseek-coder-6.7b-base", "DSCoder-6.7b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base", ), LanguageModel( "deepseek-ai/deepseek-coder-1.3b-base", "DSCoder-1.3b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base", ), ## Deepseek-Coder Instruct (33B, 6.7B, 1.3B) LanguageModel( "deepseek-ai/deepseek-coder-33b-instruct", "DSCoder-33b-Ins", LMStyle.DeepSeekCodeInstruct, datetime(2023, 9, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct", ), LanguageModel( "deepseek-ai/deepseek-coder-6.7b-instruct", "DSCoder-6.7b-Ins", LMStyle.DeepSeekCodeInstruct, datetime(2023, 9, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct", ), LanguageModel( "deepseek-ai/deepseek-coder-1.3b-instruct", "DSCoder-1.3b-Ins", LMStyle.DeepSeekCodeInstruct, datetime(2023, 8, 1), link="https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct", ), ## LanguageModel( "01-ai/Yi-Coder-9B-Chat", "Yi-Coder-9B-Chat", LMStyle.DeepSeekAPI, datetime(2023, 8, 1), link="https://huggingface.co/01-ai/Yi-Coder-9B-Chat", ), ## Deepseek-Chat Latest API (currently DeepSeek-V3) LanguageModel( "deepseek-r1-preview", "DeepSeek-R1-Preview", LMStyle.DeepSeekAPI, datetime(2024, 6, 30), link="https://api-docs.deepseek.com/news/news1120", ), LanguageModel( "deepseek-r1-lite-preview", "DeepSeek-R1-Lite-Preview", LMStyle.DeepSeekAPI, datetime(2024, 6, 30), link="https://api-docs.deepseek.com/news/news1120", ), LanguageModel( "deepseek-chat", "DeepSeek-V3", LMStyle.DeepSeekAPI, datetime(2024, 6, 30), link="https://huggingface.co/deepseek-ai/DeepSeek-V3", ), ## Deepseek-Coder Latest API (currently DeepSeekCoder-V2.5) LanguageModel( "deepseek-coder", "DeepSeekCoder-V2.5", LMStyle.DeepSeekAPI, datetime(2023, 8, 1), link="https://huggingface.co/deepseek-ai/DeepSeek-V2", ), ## OpenAI GPT-3.5-Turbo LanguageModel( "gpt-3.5-turbo-0301", "GPT-3.5-Turbo-0301", LMStyle.OpenAIChat, datetime(2021, 10, 1), link="https://openai.com/blog/new-models-and-developer-products-announced-at-devday", ), LanguageModel( "gpt-3.5-turbo-0125", "GPT-3.5-Turbo-0125", LMStyle.OpenAIChat, datetime(2021, 10, 1), link="https://openai.com/blog/new-embedding-models-and-api-updates#:~:text=Other%20new%20models%20and%20lower%20pricing", ), ## OpenAI GPT-4, GPT-4-Turbo LanguageModel( "gpt-4-0613", "GPT-4-0613", LMStyle.OpenAIChat, datetime(2021, 10, 1), link="https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4", ), LanguageModel( "gpt-4-1106-preview", "GPT-4-Turbo-1106", LMStyle.OpenAIChat, datetime(2023, 4, 30), link="https://openai.com/blog/new-models-and-developer-products-announced-at-devday", ), LanguageModel( "gpt-4-turbo-2024-04-09", "GPT-4-Turbo-2024-04-09", LMStyle.OpenAIChat, datetime(2023, 4, 30), link="https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4", ), ## OpenAI GPT-4O (and Mini) LanguageModel( "gpt-4o-2024-05-13", "GPT-4O-2024-05-13", LMStyle.OpenAIChat, datetime(2023, 4, 30), link="https://openai.com/index/spring-update", ), LanguageModel( "gpt-4o-2024-08-06", "GPT-4O-2024-08-06", LMStyle.OpenAIChat, datetime(2023, 4, 30), link="https://openai.com/index/spring-update", ), LanguageModel( "gpt-4o-mini-2024-07-18", "GPT-4O-mini-2024-07-18", LMStyle.OpenAIChat, datetime(2023, 4, 30), link="https://openai.com/index/spring-update", ), ## O1-Mini and O1-Preview LanguageModel( "o1-preview-2024-09-12", "O1-Preview-2024-09-12", LMStyle.OpenAIReasonPreview, datetime(2023, 4, 30), link="https://platform.openai.com/docs/guides/reasoning", ), LanguageModel( "o1-mini-2024-09-12", "O1-Mini-2024-09-12", LMStyle.OpenAIReasonPreview, datetime(2023, 4, 30), link="https://platform.openai.com/docs/guides/reasoning", ), ## O1 (reasoning models) LanguageModel( "o1-2024-12-17__low", "O1-2024-12-17 (Low)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o1-2024-12-17__medium", "O1-2024-12-17 (Med)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="htthttps://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o1-2024-12-17__high", "O1-2024-12-17 (High)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), ## O3-Mini LanguageModel( "o3-mini-2025-01-31__low", "O3-Mini-2025-01-31 (Low)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o3-mini-2025-01-31__medium", "O3-Mini-2025-01-31 (Med)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o3-mini-2025-01-31__high", "O3-Mini-2025-01-31 (High)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o4-mini__high", "O4-Mini (High)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o4-mini__medium", "O4-Mini (Medium)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o4-mini__low", "O4-Mini (Low)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), LanguageModel( "o3__high", "O3 (High)", LMStyle.OpenAIReason, datetime(2023, 4, 30), link="https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort", ), ## Claude and Claude 2 LanguageModel( "claude-instant-1", "Claude-Instant-1", LMStyle.Claude, datetime(2022, 12, 31), link="https://www.anthropic.com/index/introducing-claude", ), LanguageModel( "claude-2", "Claude-2", LMStyle.Claude, datetime(2022, 12, 31), link="https://www.anthropic.com/index/claude-2", ), ## Claude 3 and Claude 3.5 LanguageModel( "claude-3-opus-20240229", "Claude-3-Opus", LMStyle.Claude3, datetime(2023, 9, 1), link="https://www.anthropic.com/index/claude-3", ), LanguageModel( "claude-3-sonnet-20240229", "Claude-3-Sonnet", LMStyle.Claude3, datetime(2023, 9, 1), link="https://www.anthropic.com/index/claude-3", ), LanguageModel( "claude-3-5-sonnet-20240620", "Claude-3.5-Sonnet-20240620", LMStyle.Claude3, datetime(2024, 3, 31), link="https://www.anthropic.com/news/claude-3-5-sonnet", ), LanguageModel( "claude-3-5-sonnet-20241022", "Claude-3.5-Sonnet-20241022", LMStyle.Claude3, datetime(2024, 3, 31), link="https://www.anthropic.com/news/claude-3-5-sonnet", ), LanguageModel( "claude-3-7-sonnet-20250219", "Claude-3.7-Sonnet (Thinking)", LMStyle.Claude3Thinking, datetime(2024, 3, 31), link="https://www.anthropic.com/news/claude-3-7-sonnet", ), LanguageModel( "claude-3-haiku-20240307", "Claude-3-Haiku", LMStyle.Claude3, datetime(2023, 4, 30), link="https://www.anthropic.com/index/claude-3", ), LanguageModel( "claude-sonnet-4-20250514", "Claude-Sonnet-4 (Thinking)", LMStyle.Claude3Thinking, datetime(2023, 4, 30), link="https://www.anthropic.com/claude/sonnet", ), LanguageModel( "claude-opus-4-20250514", "Claude-Opus-4 (Thinking)", LMStyle.Claude3Thinking, datetime(2023, 4, 30), link="https://www.anthropic.com/claude/sonnet", ), LanguageModel( "claude-opus-4-20250514_nothink", "Claude-Opus-4", LMStyle.Claude3Thinking, datetime(2023, 4, 30), link="https://www.anthropic.com/claude/sonnet", ), LanguageModel( "claude-sonnet-4-20250514_nothink", "Claude-Sonnet-4", LMStyle.Claude3, datetime(2023, 4, 30), link="https://www.anthropic.com/claude/sonnet", ), ## Gemini LanguageModel( "gemini-1.5-pro-002", "Gemini-Pro-1.5-002", LMStyle.Gemini, datetime(2023, 4, 30), link="https://blog.google/technology/ai/gemini-api-developers-cloud", ), LanguageModel( "gemini-1.5-flash-002", "Gemini-Flash-1.5-002", LMStyle.Gemini, datetime(2023, 4, 30), link="https://blog.google/technology/ai/gemini-api-developers-cloud", ), # LanguageModel( # "gemini-exp-1206", # "Gemini-Exp-1206", # LMStyle.Gemini, # datetime(2023, 4, 30), # link="https://ai.google.dev/gemini-api/docs/models/experimental-models", # ), # LanguageModel( # "gemini-2.0-flash-thinking-exp-1219", # "Gemini-Flash-2.0-Thinking-12-19", # LMStyle.GeminiThinking, # datetime(2023, 4, 30), # link="https://ai.google.dev/gemini-api/docs/models/experimental-models", # ), # LanguageModel( # "gemini-2.0-flash-thinking-exp-01-21", # "Gemini-Flash-2.0-Thinking-01-21", # LMStyle.GeminiThinking, # datetime(2023, 4, 30), # link="https://ai.google.dev/gemini-api/docs/models/experimental-models", # ), # LanguageModel( # "gemini-2.0-flash-exp", # "Gemini-Flash-2.0-Exp", # LMStyle.Gemini, # datetime(2023, 4, 30), # link="https://ai.google.dev/gemini-api/docs/models/experimental-models", # ), LanguageModel( "gemini-2.5-pro", "Gemini-2.5-Pro-06-17", LMStyle.GeminiThinking, datetime(2023, 4, 30), link="https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#advanced-coding", ), LanguageModel( "gemini-2.5-pro-preview-06-05", "Gemini-2.5-Pro-06-05", LMStyle.GeminiThinking, datetime(2023, 4, 30), link="https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#advanced-coding", ), LanguageModel( "gemini-2.5-pro-preview-05-06", "Gemini-2.5-Pro-05-06", LMStyle.GeminiThinking, datetime(2023, 4, 30), link="https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#advanced-coding", ), # LanguageModel( # "gemini-2.5-pro-exp-03-25", # "Gemini-2.5-Pro-03-25", # LMStyle.GeminiThinking, # datetime(2023, 4, 30), # link="https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#advanced-coding", # ), LanguageModel( "gemini-2.5-flash-preview-04-17", "Gemini-2.5-Flash-04-17", LMStyle.GeminiThinking, datetime(2023, 4, 30), link="https://developers.googleblog.com/en/start-building-with-gemini-25-flash/", ), LanguageModel( "gemini-2.5-flash-preview-05-20", "Gemini-2.5-Flash-05-20", LMStyle.GeminiThinking, datetime(2023, 4, 30), link="https://developers.googleblog.com/en/start-building-with-gemini-25-flash/", ), ## Generic Base Models LanguageModel( "bigcode/starcoder2-3b", "StarCoder2-3b", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/bigcode/starcoder2-7b-magicoder-instruct/tree/main", ), LanguageModel( "bigcode/starcoder2-7b", "StarCoder2-7b", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/bigcode/starcoder2-7b-magicoder-instruct/tree/main", ), LanguageModel( "bigcode/starcoder2-15b", "StarCoder2-15b", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/bigcode/starcoder2-7b-magicoder-instruct/tree/main", ), LanguageModel( "google/codegemma-7b", "CodeGemma-7b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/google/codegemma-7b", ), LanguageModel( "google/codegemma-2b", "CodeGemma-2b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/google/codegemma-2b", ), LanguageModel( "google/gemma-7b", "Gemma-7b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/google/gemma-7b", ), LanguageModel( "google/gemma-2b", "Gemma-2b-Base", LMStyle.GenericBase, datetime(2023, 1, 1), link="https://huggingface.co/google/gemma-2b", ), ## Mistral Web LanguageModel( "mistral-large-latest", "Mistral-Large", LMStyle.MistralWeb, datetime(2023, 1, 1), link="https://mistral.ai/news/mistral-large/", ), ## Mistral OSS LanguageModel( "open-mixtral-8x22b", "Mixtral-8x22B-Ins", LMStyle.MistralWeb, datetime(2023, 1, 1), link="https://mistral.ai/news/mixtral-8x22b/", ), LanguageModel( "open-mixtral-8x7b", "Mixtral-8x7B-Ins", LMStyle.MistralWeb, datetime(2023, 1, 1), link="https://mistral.ai/news/mixtral-8x7b/", ), LanguageModel( "codestral-latest", "Codestral-Latest", LMStyle.MistralWeb, datetime(2023, 1, 1), link="https://mistral.ai/news/codestral/", ), ## QwQ LanguageModel( "Qwen/QwQ-32B-Preview", "QwQ-32B-Preview", LMStyle.QwQ, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/QwQ-32B-Preview", ), LanguageModel( "Qwen/QwQ-32B", "QwQ-32B", LMStyle.QwQ, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/QwQ-32B", ), ## Qwen 2 LanguageModel( "Qwen/Qwen2-72B-Instruct", "Qwen2-Ins-72B", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2-72B-Instruct", ), ## Qwen 2.5 LanguageModel( "Qwen/Qwen2.5-7B-Instruct", "Qwen2.5-Ins-7B", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct", ), LanguageModel( "Qwen/Qwen3-4B-Base", "Qwen3-4B-Base", LMStyle.GenericBase, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen3-4B-Base", ), LanguageModel( "Qwen/Qwen3-1.7B-Base", "Qwen3-1.7B-Base", LMStyle.GenericBase, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen3-1.7B-Base", ), LanguageModel( "ftajwar/qwen3_4B_Base_MaxRL_Polaris_1000_steps", "ftajwar/qwen3_4B_Base_MaxRL_Polaris_1000_steps", LMStyle.GenericBase, datetime(2023, 8, 30), link="https://huggingface.co/ftajwar/qwen3_4B_Base_MaxRL_Polaris_1000_steps", ), LanguageModel( "ftajwar/qwen3_4B_Base_GRPO_Polaris_1000_steps", "ftajwar/qwen3_4B_Base_GRPO_Polaris_1000_steps", LMStyle.GenericBase, datetime(2023, 8, 30), link="https://huggingface.co/ftajwar/qwen3_4B_Base_GRPO_Polaris_1000_steps", ), LanguageModel( "/data/models/Qwen2.5-1.5B-Instruct/", "/data/models/Qwen2.5-1.5B-Instruct/", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct", ), LanguageModel( "/data/repos/agentica-rllm/scripts/train/deepcoder/checkpoints/deepcoder-1.5b/grpo-lcb-prompt/global_step_900/actor/checkpoint", "grpo_900", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct", ), LanguageModel( "/data/repos/agentica-rllm/scripts/train/deepcoder/checkpoints/deepcoder-1.5b/tailrl-lcb-prompt/global_step_900/actor/checkpoint", "tailrl_900", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct", ), LanguageModel( "Qwen/Qwen2.5-32B-Instruct", "Qwen2.5-Ins-32B", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-32B-Instruct", ), LanguageModel( "Qwen/Qwen2.5-72B-Instruct", "Qwen2.5-Ins-72B", LMStyle.CodeQwenInstruct, datetime(2023, 8, 30), link="https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", ), ## Qwen 2.5-Coder LanguageModel( "Qwen/Qwen2.5-Coder-7B-Instruct", "Qwen2.5-Coder-Ins-7B", LMStyle.CodeQwenInstruct, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct", ), LanguageModel( "Qwen/Qwen2.5-Coder-32B-Instruct", "Qwen2.5-Coder-Ins-32B", LMStyle.CodeQwenInstruct, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct", ), LanguageModel( "Qwen/Qwen3-235B-A22B", "Qwen3-235B-A22B", LMStyle.CodeQwenInstruct, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/Qwen3-235B-A22B", ), LanguageModel( "azerogpt", "AzeroGPT-64b", LMStyle.CodeQwenInstruct, datetime(2024, 3, 1), "https://azerogpt.soundai.com", ), LanguageModel( "Kimi-k1.6-IOI-high", "Kimi-k1.6-IOI-high", LMStyle.CodeQwenInstruct, datetime(2024, 7, 30), "https://kimi.moonshot.cn/", ), LanguageModel( "Kimi-k1.6-IOI", "Kimi-k1.6-IOI", LMStyle.CodeQwenInstruct, datetime(2024, 7, 30), "https://kimi.moonshot.cn/", ), LanguageModel( "Qwen/QwQ-Max-Preview", "QwQ-Max-Preview", LMStyle.QwQ, datetime(2024, 6, 30), link="https://huggingface.co/Qwen/QwQ-Max-Preview", ), LanguageModel( "accounts/fireworks/models/deepseek-r1", "DeepSeek-R1", LMStyle.DeepSeekR1, datetime(2024, 6, 30), link="https://huggingface.co/deepseek-ai/DeepSeek-R1", ), LanguageModel( "deepseek-reasoner", "DeepSeek-R1-0528", LMStyle.DeepSeekR1, datetime(2024, 6, 30), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", ), ## DeepSeek R1 distilled of Qwen/Llama models LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", "DeepSeek-R1-Distill-Qwen-1.5B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", ), LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", "DeepSeek-R1-Distill-Qwen-7B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", ), LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B", "DeepSeek-R1-Distill-Qwen-14B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B", ), LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "DeepSeek-R1-Distill-Qwen-32B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", ), LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", "DeepSeek-R1-Distill-Llama-8B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B", ), LanguageModel( "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", "DeepSeek-R1-Distill-Llama-70B", LMStyle.DeepSeekR1, datetime(2025, 1, 20), link="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B", ), LanguageModel( model_name="command-r-plus-08-2024", model_repr="command-r-plus-08-2024", model_style=LMStyle.CohereCommand, release_date=datetime(2024, 8, 1), link="https://docs.cohere.com/docs/command-r-plus", ), LanguageModel( model_name="command-r-08-2024", model_repr="command-r-08-2024", model_style=LMStyle.CohereCommand, release_date=datetime(2024, 8, 1), link="https://docs.cohere.com/docs/command-r", ), LanguageModel( model_name="command-r7b-12-2024", model_repr="command-r7b-12-2024", model_style=LMStyle.CohereCommand, release_date=datetime(2024, 12, 13), link="https://docs.cohere.com/docs/command-r7b", ), LanguageModel( model_name="command-a-03-2025", model_repr="command-a-03-2025", model_style=LMStyle.CohereCommand, release_date=datetime(2025, 3, 13), link="https://docs.cohere.com/docs/command-a", ), LanguageModel( model_name="Qwen/Qwen2.5-72B-Instruct-Turbo", model_repr="Qwen2.5-72B-Instruct-Turbo", model_style=LMStyle.TogetherAI, release_date=datetime(2024, 9, 19), link="https://docs.together.ai/docs/serverless-models", ), # LanguageModel( # model_name="deepseek-ai/DeepSeek-V3", # model_repr="DeepSeek-V3", # model_style=LMStyle.TogetherAI, # release_date=datetime(2024, 12, 26), # link="https://docs.together.ai/docs/serverless-models", # ), LanguageModel( "MetaStone-L1-7B", "MetaStone-L1-7B", LMStyle.DeepSeekR1, datetime(2025, 3, 12), "https://www.wenxiaobai.com/", ), LanguageModel( "grok-3-mini-beta", "Grok-3-Mini", LMStyle.Grok, datetime(2024, 3, 1), "https://x.com/i/grok", ), LanguageModel( "grok-3-mini-beta_high", "Grok-3-Mini (High)", LMStyle.Grok, datetime(2024, 3, 1), "https://x.com/i/grok", ), LanguageModel( "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "Llama-3_1-Nemotron-Ultra-253B-v1", LMStyle.DeepSeekR1, datetime(2024, 4, 1), "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", ), LanguageModel( "nvidia/Llama-3_1-Nemotron-Nano-8B-v1", "Llama-3_1-Nemotron-Nano-8B-v1", LMStyle.DeepSeekR1, datetime(2024, 4, 1), "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Nano-8B-v1/", ), LanguageModel( "agentica-org/DeepCoder-14B-Preview", "DeepCoder-14B-Preview", LMStyle.DeepSeekR1, datetime(2024, 4, 1), "https://huggingface.co/agentica-org/DeepCoder-14B-Preview", ), ] LanguageModelStore: dict[str, LanguageModel] = { lm.model_name: lm for lm in LanguageModelList } if __name__ == "__main__": print(list(LanguageModelStore.keys()))