richarderkhov/merdeka-llm_-_merdeka-llm-lawyer-3b-128k-instruct-gguf overview

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  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.  Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nmerdeka-llm-lawyer-3b-128k-instruct - GGUF\n- Model creator: https://huggingface.co/Merdeka-LLM/\n- Original model: https://huggingface.co/Merdeka-LLM/merdeka-llm-lawyer-3b-128k-instruct/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q2_K.gguf) | Q2_K | 1.27GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.IQ3_XS.gguf) | IQ3_XS | 1.38GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.IQ3_S.gguf) | IQ3_S | 1.44GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q3_K_S.gguf) | Q3_K_S | 1.44GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.IQ3_M.gguf) | IQ3_M | 1.49GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q3_K.gguf) | Q3_K | 1.57GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q3_K_M.gguf) | Q3_K_M | 1.57GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q3_K_L.gguf) | Q3_K_L | 1.69GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.IQ4_XS.gguf) | IQ4_XS | 1.71GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q4_0.gguf) | Q4_0 | 1.79GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.IQ4_NL.gguf) | IQ4_NL | 1.79GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q4_K_S.gguf) | Q4_K_S | 1.8GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q4_K.gguf) | Q4_K | 1.88GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q4_K_M.gguf) | Q4_K_M | 1.88GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q4_1.gguf) | Q4_1 | 1.95GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q5_0.gguf) | Q5_0 | 2.11GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q5_K_S.gguf) | Q5_K_S | 2.11GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q5_K.gguf) | Q5_K | 2.16GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q5_K_M.gguf) | Q5_K_M | 2.16GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q5_1.gguf) | Q5_1 | 2.28GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q6_K.gguf) | Q6_K | 2.46GB |\n| [merdeka-llm-lawyer-3b-128k-instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/Merdeka-LLM_-_merdeka-llm-lawyer-3b-128k-instruct-gguf/blob/main/merdeka-llm-lawyer-3b-128k-instruct.Q8_0.gguf) | Q8_0 | 3.19GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/Llama-3.2-3B-Instruct\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n---\n\n# Uploaded  model\n\n- **Developed by:** Merdeka-LLM\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/Llama-3.2-3B-Instruct\n\nThis llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.\n\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n\n\n\nAdditional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 182,
  "gated": false,
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  "last_modified": "2024-10-21T04:56:39.000Z",
  "created_at": "2024-10-21T04:28:47.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "createdAt": "2024-10-21T04:28:47.000Z",
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  "author": "RichardErkhov",
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