Model Intelligence Sheet
nourannabil/meta-llama-3.1-8b-q4_k_m-paul-questions-gguf overview
This model was finetuned and converted to GGUF format using Unsloth. Example usage:
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| meta-llama-3.1-8b-instruct.Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"summary": "This model was finetuned and converted to GGUF format using Unsloth. **Example usage**:",
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"readme_markdown": "---\ntags:\n- gguf\n- llama.cpp\n- unsloth\n\n---\n\n# Meta-Llama-3.1-8B-q4_k_m-paul-Questions-GGUF : GGUF\n\nThis model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).\n\n**Example usage**:\n- For text only LLMs: `llama-cli -hf Meta-Llama-3.1-8B-q4_k_m-paul-Questions-GGUF --jinja`\n- For multimodal models: `llama-mtmd-cli -hf Meta-Llama-3.1-8B-q4_k_m-paul-Questions-GGUF --jinja`\n\n## Available Model files:\n- `meta-llama-3.1-8b-instruct.Q4_K_M.gguf`\n\n## Ollama\nAn Ollama Modelfile is included for easy deployment.\nThis was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n",
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Source payload excerpt (from Hugging Face API)
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