richarderkhov/awikdhar_-_llama3.1_8b_2707-gguf overview

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    "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.",
    "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\nLlama3.1_8b_2707 - GGUF\n- Model creator: https://huggingface.co/AwikDhar/\n- Original model: https://huggingface.co/AwikDhar/Llama3.1_8b_2707/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Llama3.1_8b_2707.Q2_K.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q2_K.gguf) | Q2_K | 2.96GB |\n| [Llama3.1_8b_2707.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [Llama3.1_8b_2707.IQ3_S.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [Llama3.1_8b_2707.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [Llama3.1_8b_2707.IQ3_M.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [Llama3.1_8b_2707.Q3_K.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q3_K.gguf) | Q3_K | 3.74GB |\n| [Llama3.1_8b_2707.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [Llama3.1_8b_2707.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [Llama3.1_8b_2707.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [Llama3.1_8b_2707.Q4_0.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [Llama3.1_8b_2707.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [Llama3.1_8b_2707.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [Llama3.1_8b_2707.Q4_K.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q4_K.gguf) | Q4_K | 4.58GB |\n| [Llama3.1_8b_2707.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [Llama3.1_8b_2707.Q4_1.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [Llama3.1_8b_2707.Q5_0.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [Llama3.1_8b_2707.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [Llama3.1_8b_2707.Q5_K.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q5_K.gguf) | Q5_K | 5.34GB |\n| [Llama3.1_8b_2707.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [Llama3.1_8b_2707.Q5_1.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [Llama3.1_8b_2707.Q6_K.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q6_K.gguf) | Q6_K | 6.14GB |\n| [Llama3.1_8b_2707.Q8_0.gguf](https://huggingface.co/RichardErkhov/AwikDhar_-_Llama3.1_8b_2707-gguf/blob/main/Llama3.1_8b_2707.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n- sft\n---\n\n# Uploaded  model\n\n- **Developed by:** AwikDhar\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit\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",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 110,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-09T09:23:34.000Z",
  "created_at": "2024-08-09T07:46:11.000Z",
  "pipeline_tag": "",
  "library_name": ""
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  "createdAt": "2024-08-09T07:46:11.000Z",
  "lastModified": "2024-08-09T09:23:34.000Z",
  "author": "RichardErkhov",
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  "siblings_count": 24
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