deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

zetlyn/models-hf model hf deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B known 2025-01-20

https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

Properties

authordeepseek-ai
receipt
Source
Hugging Face models
Its words
deepseek-ai
Read by
field:author
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}
downloads963139
receipt
Source
Hugging Face models
Its words
963139
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-04 12:16 UTC963139
2026-10-03 18:10 UTC961330
2026-10-02 12:02 UTC954847
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}
gatedfalse
receipt
Source
Hugging Face models
Its words
false
Read by
field:gated
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}
licencemit
receipt
Source
Hugging Face models
Its words
mit
Read by
field:cardData.license
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}
likes1596
receipt
Source
Hugging Face models
Its words
1596
Read by
field:likes
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-04 12:16 UTC1596
2026-10-03 18:10 UTC1597
2026-10-03 00:06 UTC1596
2026-10-02 12:02 UTC1594
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}
tasktext-generation
receipt
Source
Hugging Face models
Its words
text-generation
Read by
field:pipeline_tag
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "_id": "678e11922b39b4ed1381531b",
  "author": "deepseek-ai",
  "cardData": {
    "library_name": "transformers",
    "license": "mit"
  },
  "config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "model_type": "qwen2",
    "tokenizer_config": {
      "bos_token": {
        "__type": "AddedToken",
        "content": "<|begin▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
      "eos_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "pad_token": {
        "__type": "AddedToken",
        "content": "<|end▁of▁sentence|>",
        "lstrip": false,
        "normalized": true,
        "rstrip": false,
        "single_word": false
      },
      "unk_token": null
    }
  },
  "createdAt": "2025-01-20T09:04:18.000Z",
  "disabled": false,
  "downloads": 963139,
  "gated": false,
  "id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "inference": "warm",
  "lastModified": "2025-02-24T03:32:35.000Z",
  "library_name": "transformers",
  "likes": 1596,
  "model-index": null,
  "modelId": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 1777088000
    },
    "total": 1777088000
  },
  "sha": "ad9f0ae0864d7fbcd1cd905e3c6c5b069cc8b562",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/benchmark.jpg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "embedl/hfviewer",
    "pliny-the-prompter/obliteratus",
    "tardellirs/model-pulse",
    "hesamation/primer-llm-embedding",
    "aquanode/gpu-vram-calculator",
    "VIDraft/global-llm-leaderboard",
    "eduagarcia/open_pt_llm_leaderboard",
    "logikon/open_cot_leaderboard",
    "KBaba7/Quant",
    "FallnAI/Quantize-HF-Models",
    "bhaskartripathi/LLM_Quantization",
    "openfree/LLM_Quantization",
    "EuroEval/euroeval_leaderboard",
    "ruslanmv/convert_to_gguf",
    "Lyte/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "codewithdark/Faceless-video",
    "fdaudens/deepseek-download-stats",
    "seawolf2357/LLM_Quantization",
    "awacke1/Deepseek-HPC-GPU-KEDA",
    "Jyothikamalesh/Vendor-contract-extractor",
    "totolook/Quant",
    "K00B404/LLM_Quantization",
    "xiaoyao9184/convert-to-rkllm",
    "maguid28/TranscriptTool",
    "keeperballon/multi-llm",
    "BeyondHsueh/ReliableMath-Leaderboard",
    "0xSojalSec/primer-llm-embedding1111",
    "LLMhacker/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-Assisstant",
    "ainspired/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Steven10429/apply_lora_and_quantize",
    "merterbak/DeepSeek-R1-Distill-Qwen-1.5B",
    "yoSabareesh/the-indian-lawyer",
    "Oss11/XLM",
    "dumbordumber/obliteratus",
    "Kodacoda/obliteratus",
    "Ajeya95/llmfleet-sre",
    "ehristoforu/llama-3.2-3B-Instruct",
    "eikarna/DeepChat",
    "kerimk/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "migueldeguzmandev/deepseek-build",
    "heloani/DeepSeek-R1-Distill-Qwen-1.5B",
    "ehristoforu/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF",
    "learn-AI-in-2025/Audit-QA-Bot",
    "DaisioSK/Image-Story-Teller",
    "tfft/deepseek-ai-DeepSeek-R1-Distill-Qwen-8B",
    "Jekaterina/Multimodal_festival_agent",
    "LLMhacker/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "wewqeadfdhd/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Canstralian/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Kuberwastaken/TREAT-R1",
    "sanmmarr29/helperAi",
    "AIkiller6969/stupid_chat",
    "avilaroman/R1",
    "Ryanherelah/KidsStoryGen",
    "Voxmindowner/Voxmind_Small",
    "mralamdari/Anime_Shogun_Agent",
    "kouki321/Third_Try_Cag_pdf",
    "Metal3d/reasoning-deepseek-qwen2",
    "kouki321/Third_Try_Cag",
    "kouki321/exemple3",
    "ju0im6bt6/DeepSeek-R1-Distill-Qwen-1.5B-Demo-GGUF-thinking",
    "asifHuggingFace/webui",
    "OMIKALIX/OKalixAI",
    "GilbertAkham/GJAI-R1",
    "fagun18/fagun-browser-testing",
    "itsasutosha/SmartScribe",
    "Noursine2025/DeepSeek-R1-Distill-Qwen-1.5B-Q8_0",
    "akasu1/BlackHeart1",
    "exploitz3r0bbd/Quantize-HF-Models",
    "Xlnk/Quantize-HF-Models",
    "Oss11/Quantize-HF-Models",
    "dromero14521/obliteratus",
    "rbinrs/obliteratus",
    "kicfk/obliteratus",
    "aaahmet/obliteratus",
    "Deadmon/obliteratus",
    "Ngixdev/obliteratus",
    "abuzarhussain/Owais",
    "Eeppa/VerySlowAISmartedition",
    "Aaravkumar/documind",
    "Saffn/llm",
    "specimba/nexus-os-lab",
    "Aaravkumar/Documind-V2",
    "RavichandranJ/obliteratus",
    "S-Dreamer/obliteratus",
    "AlanaSky/asgaard",
    "marchkamal51/obliteratus",
    "dlflannery/GradioTest",
    "Dakshith/sadlife",
    "K00B404/DarkSeek_0X",
    "mohamedrasheqA/Deepseek-1B-FT-BM",
    "sdafd/deepseek-r1-cpu",
    "Iraqianoooo/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "sdafd/deepseek-r1-backend-api",
    "Chris4K/DeepSeek-R1-Distill-Qwen-1.5B",
    "Guugas/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "EdwinC/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B-testing",
    "ed29/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B",
    "Echo-AI-official/test"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen2",
    "text-generation",
    "conversational",
    "arxiv:2501.12948",
    "license:mit",
    "text-generation-inference",
    "endpoints_compatible",
    "deploy:sagemaker",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 3555721410,
  "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."
    }
  ]
}

Text

This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.