aaryank/iquest-coder-v1-40b-instruct-gguf overview

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  "metadata": {},
  "card_data": {
    "base_model": "IQuestLab/IQuest-Coder-V1-40B-Instruct",
    "base_model_relation": "quantized",
    "language": [
      "en"
    ],
    "library_name": "gguf",
    "license": "other",
    "license_name": "iquestcoder",
    "license_link": "https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/blob/main/LICENSE",
    "pipeline_tag": "text-generation",
    "tags": [
      "text-generation-inference",
      "code",
      "agent",
      "swe-bench",
      "gguf"
    ],
    "frontmatter": {
      "base_model": "IQuestLab/IQuest-Coder-V1-40B-Instruct",
      "base_model_relation": "quantized",
      "language": [
        "en"
      ],
      "library_name": "gguf",
      "license": "other",
      "license_name": "iquestcoder",
      "license_link": "https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/blob/main/LICENSE",
      "pipeline_tag": "text-generation",
      "tags": [
        "text-generation-inference",
        "code",
        "agent",
        "swe-bench",
        "gguf"
      ]
    },
    "hero_image_url": "https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/resolve/main/papers/iquest-coder-v1-logo.png",
    "summary": "!Logo",
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    "readme_markdown": "---\nbase_model: IQuestLab/IQuest-Coder-V1-40B-Instruct\nbase_model_relation: quantized\nlanguage:\n  - en\nlibrary_name: gguf\nlicense: other\nlicense_name: iquestcoder\nlicense_link: https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/blob/main/LICENSE\npipeline_tag: text-generation\ntags:\n  - text-generation-inference\n  - code\n  - agent\n  - swe-bench\n  - gguf\n---\n\n# IQuest-Coder-V1-40B-Instruct-GGUF\n\n![Logo](https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/resolve/main/papers/iquest-coder-v1-logo.png)\n\n## Description\n\nThis repository contains **GGUF** format model files for [IQuestLab's IQuest-Coder-V1-40B-Instruct](https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct).\n\n**IQuest-Coder-V1** is a state-of-the-art coding model built on a \"code-flow\" training paradigm. It captures the dynamic evolution of software logic, delivering exceptional performance on benchmarks like SWE-Bench Verified (81.4%) and BigCodeBench. This model natively supports a **128K context window**.\n\n## Evaluation Results\n\n![Evaluation Results](https://cdn-uploads.huggingface.co/production/uploads/64e1a459ff3fd4fd8eedb456/kQviRhaP0v6C5Z2rhYFoa.png)\n\n## Files & Quantization\n\nTo see the available files, please verify the **Files and versions** tab.\n\n## How to Run (llama.cpp)\n\n**Recommended Parameters:**\nFor coding tasks, a lower temperature is generally recommended for precision.\n*   **Temperature:** `0.2` (for code generation) or `0.7` (for creative explanations)\n*   **Context:** `-c` (Adjust based on your VRAM/RAM. The model supports up to 128k).\n\n### CLI Example\n\n```bash\n./llama-cli -m IQuest-Coder-V1-40B-Instruct.Q4_K_M.gguf \\\n  -c 8192 \\\n  --temp 0.2 \\\n  -p \"User: Write a Python function to calculate the Fibonacci sequence using dynamic programming.\\nAssistant:\" \\\n  -cnv\n```\n\n### Server Example\n\n```bash\n./llama-server -m IQuest-Coder-V1-40B-Instruct.Q4_K_M.gguf \\\n  --port 8080 \\\n  --host 0.0.0.0 \\\n  -c 16384 \\\n  -ngl 99\n```",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation-inference",
    "code",
    "agent",
    "swe-bench",
    "text-generation",
    "en",
    "base_model:IQuestLab/IQuest-Coder-V1-40B-Instruct",
    "base_model:quantized:IQuestLab/IQuest-Coder-V1-40B-Instruct",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 7,
  "downloads": 379,
  "gated": false,
  "private": false,
  "last_modified": "2026-01-01T22:53:09.000Z",
  "created_at": "2026-01-01T21:07:11.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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  "id": "AaryanK/IQuest-Coder-V1-40B-Instruct-GGUF",
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  "createdAt": "2026-01-01T21:07:11.000Z",
  "lastModified": "2026-01-01T22:53:09.000Z",
  "author": "AaryanK",
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