forkjoin-ai/qwen2.5-coder-7b-instruct-gguf overview

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    "summary": "Forkjoin.ai conversion of qwen2.5-coder-7b-instruct-gguf to GGUF format for edge deployment.",
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    "readme_markdown": "---\nlanguage:\n  - en\nlicense: apache-2.0\nlibrary_name: llama-cpp\ntags:\n  - gguf\n  - forkjoin-ai\n\npipeline_tag: text-generation\n---\n\n# Qwen2.5 Coder 7B Instruct\n\nForkjoin.ai conversion of [qwen2.5-coder-7b-instruct-gguf](https://huggingface.co/qwen2.5-coder-7b-instruct-gguf) to GGUF format for edge deployment.\n\n## Model Details\n\n- **Source Model**: [See upstream](https://huggingface.co/qwen2.5-coder-7b-instruct-gguf)\n- **Format**: GGUF\n- **Converted by**: [Forkjoin.ai](https://forkjoin.ai)\n\n## Usage\n\n### With llama.cpp\n\n```bash\n./llama-cli -m qwen2.5-coder-7b-instruct-gguf.gguf -p \"Your prompt here\" -n 256\n```\n\n### With Ollama\n\nCreate a `Modelfile`:\n```\nFROM ./qwen2.5-coder-7b-instruct-gguf.gguf\n```\n\n```bash\nollama create qwen2.5-coder-7b-instruct-gguf -f Modelfile\nollama run qwen2.5-coder-7b-instruct-gguf\n```\n\n## About Forkjoin.ai\n\n[Forkjoin.ai](https://forkjoin.ai) runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power real-time inference, speech recognition, and natural language capabilities.\n\nAll conversions are optimized for edge deployment within browser and mobile memory constraints.\n\n## License\n\nApache 2.0 (follows upstream model license)\n",
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  "created_at": "2026-03-20T15:15:43.000Z",
  "pipeline_tag": "text-generation",
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