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matrixportalx/qwen2.5-coder-7b-instruct-q4_k_m-gguf Q4_K_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

matrixportalx/qwen2.5-coder-7b-instruct-q4_k_m-gguf overview

This model was converted to GGUF format from Qwen/Qwen2.5-Coder-7B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

transformersggufcodecodeqwenchatqwenqwen-coderllama-cppgguf-my-repotext-generationenbase_model:Qwen/Qwen2.5-Coder-7B-Instructbase_model:quantized:Qwen/Qwen2.5-Coder-7B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
matrixportalx/qwen2.5-coder-7b-instruct-q4_k_m-gguf visual
Downloads
372
Likes
0
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

1 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
qwen2.5-coder-7b-instruct-q4_k_m.gguf GGUF Q4_K_M 4.36 GB Download

Model Details Live

Model Slug
matrixportalx/qwen2.5-coder-7b-instruct-q4_k_m-gguf
Author
matrixportalx
Pipeline Task
text-generation
Library
transformers
Created
2025-01-09
Last Modified
2025-01-09
Gated
No
Private
No
HF SHA
feb696c8ff457f252c450705f6f4f55e11d8f20f
License
apache-2.0
Language
en
Base Model
Qwen/Qwen2.5-Coder-7B-Instruct

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE",
    "language": [
      "en"
    ],
    "base_model": "Qwen/Qwen2.5-Coder-7B-Instruct",
    "pipeline_tag": "text-generation",
    "library_name": "transformers",
    "tags": [
      "code",
      "codeqwen",
      "chat",
      "qwen",
      "qwen-coder",
      "llama-cpp",
      "gguf-my-repo"
    ],
    "frontmatter": {
      "license": "apache-2.0",
      "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE",
      "language": [
        "en"
      ],
      "base_model": "Qwen/Qwen2.5-Coder-7B-Instruct",
      "pipeline_tag": "text-generation",
      "library_name": "transformers",
      "tags": [
        "code",
        "codeqwen",
        "chat",
        "qwen",
        "qwen-coder",
        "llama-cpp",
        "gguf-my-repo"
      ]
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from Qwen/Qwen2.5-Coder-7B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nlicense_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE\nlanguage:\n- en\nbase_model: Qwen/Qwen2.5-Coder-7B-Instruct\npipeline_tag: text-generation\nlibrary_name: transformers\ntags:\n- code\n- codeqwen\n- chat\n- qwen\n- qwen-coder\n- llama-cpp\n- gguf-my-repo\n---\n\n# matrixportal/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`Qwen/Qwen2.5-Coder-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) 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/Qwen/Qwen2.5-Coder-7B-Instruct) 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 matrixportal/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF --hf-file qwen2.5-coder-7b-instruct-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo matrixportal/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF --hf-file qwen2.5-coder-7b-instruct-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 matrixportal/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF --hf-file qwen2.5-coder-7b-instruct-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo matrixportal/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF --hf-file qwen2.5-coder-7b-instruct-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "code",
    "codeqwen",
    "chat",
    "qwen",
    "qwen-coder",
    "llama-cpp",
    "gguf-my-repo",
    "text-generation",
    "en",
    "base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
    "base_model:quantized:Qwen/Qwen2.5-Coder-7B-Instruct",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 372,
  "gated": false,
  "private": false,
  "last_modified": "2025-01-09T17:43:31.000Z",
  "created_at": "2025-01-09T17:43:08.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67800aac0081d266e7b543d2",
  "id": "matrixportalx/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF",
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  "sha": "feb696c8ff457f252c450705f6f4f55e11d8f20f",
  "createdAt": "2025-01-09T17:43:08.000Z",
  "lastModified": "2025-01-09T17:43:31.000Z",
  "author": "matrixportalx",
  "downloads": 372,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 3
}