{"_id":"66e81cdaa3681387ffc12b55","id":"Qwen/Qwen2.5-14B-Instruct","private":false,"pipeline_tag":"text-generation","library_name":"transformers","tags":["transformers","safetensors","qwen2","text-generation","chat","conversational","en","arxiv:2309.00071","arxiv:2407.10671","base_model:Qwen/Qwen2.5-14B","base_model:finetune:Qwen/Qwen2.5-14B","license:apache-2.0","text-generation-inference","endpoints_compatible","deploy:sagemaker","deploy:azure","region:us"],"downloads":1412806,"likes":371,"modelId":"Qwen/Qwen2.5-14B-Instruct","author":"Qwen","sha":"cf98f3b3bbb457ad9e2bb7baf9a0125b6b88caa8","lastModified":"2024-09-25T12:33:04.000Z","gated":false,"disabled":false,"widgetData":[{"text":"Hi, what can you help me with?"},{"text":"What is 84 * 3 / 2?"},{"text":"Tell me an interesting fact about the universe!"},{"text":"Explain quantum computing in simple terms."}],"model-index":null,"config":{"architectures":["Qwen2ForCausalLM"],"model_type":"qwen2","tokenizer_config":{"bos_token":null,"chat_template":"{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n","eos_token":"<|im_end|>","pad_token":"<|endoftext|>","unk_token":null}},"cardData":{"license":"apache-2.0","license_link":"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE","language":["en"],"pipeline_tag":"text-generation","base_model":"Qwen/Qwen2.5-14B","tags":["chat"],"library_name":"transformers"},"transformersInfo":{"auto_model":"AutoModelForCausalLM","pipeline_tag":"text-generation","processor":"AutoTokenizer"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"LICENSE"},{"rfilename":"README.md"},{"rfilename":"config.json"},{"rfilename":"generation_config.json"},{"rfilename":"merges.txt"},{"rfilename":"model-00001-of-00008.safetensors"},{"rfilename":"model-00002-of-00008.safetensors"},{"rfilename":"model-00003-of-00008.safetensors"},{"rfilename":"model-00004-of-00008.safetensors"},{"rfilename":"model-00005-of-00008.safetensors"},{"rfilename":"model-00006-of-00008.safetensors"},{"rfilename":"model-00007-of-00008.safetensors"},{"rfilename":"model-00008-of-00008.safetensors"},{"rfilename":"model.safetensors.index.json"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"},{"rfilename":"vocab.json"}],"spaces":["tardellirs/model-pulse","embedl/hfviewer","alexnasa/Wan2.2-Animate-ZEROGPU","aquanode/gpu-vram-calculator","allenai/reward-bench","bhaskartripathi/LLM_Quantization","VIDraft/global-llm-leaderboard","seawolf2357/LLM_Quantization","multimodalart/self-forcing","fffiloni/Meigen-MultiTalk","eduagarcia/open_pt_llm_leaderboard","Heartsync/VEO3-RealTime","fffiloni/Wan2.1-VACE-1.3B","logikon/open_cot_leaderboard","KBaba7/Quant","fffiloni/Wan2.1","IndexTeam/AnisoraV3","fffiloni/SCAIL-2","ginigen/Wan-2.2-Enhanced","fffiloni/Reward-Forcing","HPAI-BSC/TuRTLe-Leaderboard","FallnAI/Quantize-HF-Models","qimma/leaderboard","openfree/LLM_Quantization","TencentARC/RollingForcing","ruslanmv/convert_to_gguf","herokominato/Wan2.2-Animate-ZEROGPU","prithivMLmods/NAVA-Text-to-Video","KempnerInstituteAI/LVP","MERaLiON/SeaEval_Leaderboard","cot-leaderboard/open-cot-dashboard","lightmate/llm-chatbot","rubenroy/Zurich-14B","shenyunhang/VITA-Audio","YinmingHuang/StableAvatar","filbench/filbench-leaderboard","Westlake-AGI-Lab/FlowDirector","haodongli/RollingSink","wana14/Wan-2.2-5B","totolook/Quant","K00B404/LLM_Quantization","build-small-hackathon/football-foul-fest","multimodalart/LiveEdit","yhuahua/Qwen-Qwen2.5-14B-Instruct","tsi-org/pixio-video-stream","marcelo1126/InfiniteTalk","vaibhavpandeyvpz/wan2.2-text-image-to-video","abuelzoz33/vram-calculator","ZalzalaKhan/disaster-rag","Genie2k/pakistan-court-legal-rag","swyx/BeeWeb","Steven10429/apply_lora_and_quantize","zhwang4ai/GenerativeReasoningBenchmark","jbilcke-hf/NON_WORKING_matrix_game_2","randrewsv/ai-debate","Speedofmastery/orynxml-backend","vaibhavpandeyvpz/wan2.1-flf2v-image-to-video","PanchamJ/wan2.1-flf2v-image-to-video","cereeenn120/Hogwarts_SBox_AI-RPG","build-small-hackathon/finoptix14b","build-small-hackathon/neilA","build-small-hackathon/boutique-hotel-mystery","FINGU-AI/lora_bnk","gemumu/Qwen-Qwen2.5-14B-Instruct","maffia/vace-demo","martylabs/Meigen-MultiTalk","asifHuggingFace/webui","rahul7star/wan2.2TITV5BRepo","rahul7star/infinitetalk","Humbl3m33/Qwen-Qwen2.5-14B-Instruct","fagun18/fagun-browser-testing","GoergeMarckus/AIDEN_VOZ","ShalomKing/infinitetalk","FarmerlineML/infinitetalk","Xlnk/Quantize-HF-Models","exploitz3r0bbd/Quantize-HF-Models","Oss11/Quantize-HF-Models","PhalaCloud/legal-citation-leaderboard","feiyuzhu/English_teacher","supreme-lab/AgentSkillBench","MuhammadHamza33/RAG-e-Qanoon","Idred/BlastRadius-OpenEnv","DJ-Goanna-Coding/citadel-agentic-swarm","anirudw/rveda-rcm-arena","uchihamadara1816/AutoDataLab2.0","SpringWang08/Medical-VQA","abdelslam-ai/Pharmaceutics","lablab-ai-amd-developer-hackathon/paperhawk","Vincsipe/paperhawk","NousResearch/cna-refusal-ablation","ccortezb/finoptix14b","build-small-hackathon/analog-town","build-small-hackathon/noon-report-checker","build-small-hackathon/the-adventure-gang","build-small-hackathon/the-apprentice","HF-slyfox/slyfox","loveseries/SCAIL-2","Lwyeiaons/ALYA.AI","Camorro/Camorroy","pphothidaen/horoconsultant-core-backend"],"createdAt":"2024-09-16T11:56:10.000Z","safetensors":{"parameters":{"BF16":14770033664},"total":14770033664},"usedStorage":29540134000}