second-state/qwen2.5-coder-32b-instruct-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Qwen/Qwen2.5-Coder-32B-Instruct",
    "license": "apache-2.0",
    "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE",
    "model_creator": "Qwen",
    "model_name": "Qwen2.5-Coder-32B-Instruct",
    "quantized_by": "Second State Inc.",
    "language": [
      "en"
    ],
    "pipeline_tag": "text-generation",
    "library_name": "transformers",
    "tags": [
      "code",
      "codeqwen",
      "chat",
      "qwen",
      "qwen-coder"
    ],
    "frontmatter": {
      "base_model": "Qwen/Qwen2.5-Coder-32B-Instruct",
      "license": "apache-2.0",
      "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE",
      "model_creator": "Qwen",
      "model_name": "Qwen2.5-Coder-32B-Instruct",
      "quantized_by": "Second State Inc.",
      "language": [
        "en"
      ],
      "pipeline_tag": "text-generation",
      "library_name": "transformers",
      "tags": [
        "code",
        "codeqwen",
        "chat",
        "qwen",
        "qwen-coder"
      ]
    },
    "hero_image_url": "https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg",
    "summary": "",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Qwen/Qwen2.5-Coder-32B-Instruct\nlicense: apache-2.0\nlicense_link: https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE\nmodel_creator: Qwen\nmodel_name: Qwen2.5-Coder-32B-Instruct\nquantized_by: Second State Inc.\nlanguage:\n- en\npipeline_tag: text-generation\nlibrary_name: transformers\ntags:\n- code\n- codeqwen\n- chat\n- qwen\n- qwen-coder\n---\n\n<!-- header start -->\n<!-- 200823 -->\n<div style=\"width: auto; margin-left: auto; margin-right: auto\">\n<img src=\"https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg\" style=\"width: 100%; min-width: 400px; display: block; margin: auto;\">\n</div>\n<hr style=\"margin-top: 1.0em; margin-bottom: 1.0em;\">\n<!-- header end -->\n\n# Qwen2.5-Coder-32B-Instruct-GGUF\n\n## Original Model\n\n[Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)\n\n## Run with LlamaEdge\n\n- LlamaEdge version: [v0.14.14](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.14) or above\n\n- Prompt template\n\n  - Prompt type: `chatml`\n\n  - Prompt string\n\n    ```text\n    <|im_start|>system\n    {system_message}<|im_end|>\n    <|im_start|>user\n    {prompt}<|im_end|>\n    <|im_start|>assistant\n    ```\n\n- Context size: `128000`\n\n- Run as LlamaEdge service\n\n  ```bash\n  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-32B-Instruct-Q5_K_M.gguf \\\n    llama-api-server.wasm \\\n    --model-name Qwen2.5-Coder-32B-Instruct \\\n    --prompt-template chatml \\\n    --ctx-size 128000\n  ```\n\n- Run as LlamaEdge command app\n\n  ```bash\n  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-32B-Instruct-Q5_K_M.gguf \\\n    llama-chat.wasm \\\n    --prompt-template chatml \\\n    --ctx-size 128000\n  ```\n\n## Quantized GGUF Models\n\n| Name | Quant method | Bits | Size | Use case |\n| ---- | ---- | ---- | ---- | ----- |\n| [Qwen2.5-Coder-32B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 12.3 GB| smallest, significant quality loss - not recommended for most purposes |\n| [Qwen2.5-Coder-32B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 17.2 GB| small, substantial quality loss |\n| [Qwen2.5-Coder-32B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 15.9 GB| very small, high quality loss |\n| [Qwen2.5-Coder-32B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 14.4 GB| very small, high quality loss |\n| [Qwen2.5-Coder-32B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 18.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M |\n| [Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 19.9 GB| medium, balanced quality - recommended |\n| [Qwen2.5-Coder-32B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 18.8 GB| small, greater quality loss |\n| [Qwen2.5-Coder-32B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 22.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |\n| [Qwen2.5-Coder-32B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 23.3 GB| large, very low quality loss - recommended |\n| [Qwen2.5-Coder-32B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 22.6 GB| large, low quality loss - recommended |\n| [Qwen2.5-Coder-32B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 26.9 GB| very large, extremely low quality loss |\n| [Qwen2.5-Coder-32B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 34.8 GB| very large, extremely low quality loss - not recommended |\n| [Qwen2.5-Coder-32B-Instruct-f16-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-f16-00001-of-00003.gguf)       | f16    | 16 | 29.8 GB| |\n| [Qwen2.5-Coder-32B-Instruct-f16-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-f16-00002-of-00003.gguf)       | f16    | 16 | 29.8 GB| |\n| [Qwen2.5-Coder-32B-Instruct-f16-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-32B-Instruct-GGUF/blob/main/Qwen2.5-Coder-32B-Instruct-f16-00003-of-00003.gguf)       | f16    | 16 | 5.87 GB| |\n\n*Quantized with llama.cpp b4033*",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "qwen2",
    "text-generation",
    "code",
    "codeqwen",
    "chat",
    "qwen",
    "qwen-coder",
    "en",
    "base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
    "base_model:quantized:Qwen/Qwen2.5-Coder-32B-Instruct",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 158,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-11T14:36:33.000Z",
  "created_at": "2024-11-11T11:23:48.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

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  "id": "second-state/Qwen2.5-Coder-32B-Instruct-GGUF",
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  "createdAt": "2024-11-11T11:23:48.000Z",
  "lastModified": "2024-11-11T14:36:33.000Z",
  "author": "second-state",
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  "pipeline_tag": "text-generation",
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  "siblings_count": 18
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