kondara/deepseek-r1-distill-qwen-7b-q4_k_m-gguf overview

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    "license": "mit",
    "library_name": "transformers",
    "tags": [
      "llama-cpp",
      "gguf-my-repo"
    ],
    "base_model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
    "frontmatter": {
      "license": "mit",
      "library_name": "transformers",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
      ],
      "base_model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B"
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from deepseek-ai/DeepSeek-R1-Distill-Qwen-7B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
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    "readme_markdown": "---\nlicense: mit\nlibrary_name: transformers\ntags:\n- llama-cpp\n- gguf-my-repo\nbase_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B\n---\n\n# Kondara/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`deepseek-ai/DeepSeek-R1-Distill-Qwen-7B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo Kondara/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-7b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo Kondara/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-7b-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo Kondara/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-7b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo Kondara/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M-GGUF --hf-file deepseek-r1-distill-qwen-7b-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
    "base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
    "license:mit",
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  "likes": 3,
  "downloads": 282,
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  "last_modified": "2025-02-04T08:37:56.000Z",
  "created_at": "2025-01-27T13:17:23.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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  "createdAt": "2025-01-27T13:17:23.000Z",
  "lastModified": "2025-02-04T08:37:56.000Z",
  "author": "Kondara",
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