richarderkhov/princeton-nlp_-_llama-3-instruct-8b-kto-v0.2-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models Llama-3-Instruct-8B-KTO-v0.2 - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | Llama-3-Instruct-8B-KTO-v0.2.Q2_K.gguf | Q2_K | 2.96GB | | Llama-3-Instruct-8B-KTO-v0.2.IQ3_XS.gguf | IQ3_XS | 3.28GB | | Llama-3-Instruct-8B-KTO-v0.2.IQ3_S.gguf | IQ3_S | 3.43GB | | Llama-3-Instruct-8B-KTO-v0.2.Q3_K_S.gguf | Q3_K_S | 3.41GB | | Llama-3-Instruct-8B-KTO-v0.2.IQ3_M.gguf | IQ3_M | 3.52GB | | Llama-3-Instruct-8B-KTO-v0.2.Q3_K.gguf | Q3_K | 3.74GB | | Llama-3-Instruct-8B-KTO-v0.2.Q3_K_M.gguf | Q3_K_M | 3.74GB | | Llama-3-Instruct-8B-KTO-v0.2.Q3_K_L.gguf | Q3_K_L | 4.03GB | | Llama-3-Instruct-8B-KTO-v0.2.IQ4_XS.gguf | IQ4_XS | 4.18GB | | Llama-3-Instruct-8B-KTO-v0.2.Q4_0.gguf | Q4_0 | 4.34GB | | Llama-3-Instruct-8B-KTO-v0.2.IQ4_NL.gguf | IQ4_NL | 4.38GB | | Llama-3-Instruct-8B-KTO-v0.2.Q4_K_S.gguf | Q4_K_S | 4.37GB | | Llama-3-Instruct-8B-KTO-v0.2.Q4_K.gguf | Q4_K | 4.58GB | | Llama-3-Instruct-8B-KTO-v0.2.Q4_K_M.gguf | Q4_K_M | 4.58GB | | Llama-3-Instruct-8B-KTO-v0.2.Q4_1.gguf | Q4_1 | 4.78GB | | Llama-3-Instruct-8B-KTO-v0.2.Q5_0.gguf | Q5_0 | 5.21GB | | Llama-3-Instruct-8B-KTO-v0.2.Q5_K_S.gguf | Q5_K_S | 5.21GB | | Llama-3-Instruct-8B-KTO-v0.2.Q5_K.gguf | Q5_K | 5.34GB | | Llama-3-Instruct-8B-KTO-v0.2.Q5_K_M.gguf | Q5_K_M | 5.34GB | | Llama-3-Instruct-8B-KTO-v0.2.Q5_1.gguf | Q5_1 | 5.65GB | | Llama-3-Instruct-8B-KTO-v0.2.Q6_K.gguf | Q6_K | 6.14GB | | Llama-3-Instruct-8B-KTO-v0.2.Q8_0.gguf | Q8_0 | 7.95GB | Original model description: This is a model released from the preprint: SimPO: Simple Preference Optimization with a Reference-Free Reward. Please refer to our repository for more details.",
    "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\nLlama-3-Instruct-8B-KTO-v0.2 - GGUF\n- Model creator: https://huggingface.co/princeton-nlp/\n- Original model: https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q2_K.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q2_K.gguf) | Q2_K | 2.96GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.IQ3_S.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.IQ3_M.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q3_K.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q3_K.gguf) | Q3_K | 3.74GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q4_0.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q4_K.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q4_K.gguf) | Q4_K | 4.58GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q4_1.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q5_0.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q5_K.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q5_K.gguf) | Q5_K | 5.34GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q5_1.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q6_K.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q6_K.gguf) | Q6_K | 6.14GB |\n| [Llama-3-Instruct-8B-KTO-v0.2.Q8_0.gguf](https://huggingface.co/RichardErkhov/princeton-nlp_-_Llama-3-Instruct-8B-KTO-v0.2-gguf/blob/main/Llama-3-Instruct-8B-KTO-v0.2.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\nThis is a model released from the preprint: [SimPO: Simple Preference Optimization with a Reference-Free Reward](https://arxiv.org/abs/2405.14734). Please refer to our [repository](https://github.com/princeton-nlp/SimPO) for more details.\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2405.14734",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
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  "downloads": 81,
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  "last_modified": "2024-09-25T06:52:15.000Z",
  "created_at": "2024-09-25T00:07:57.000Z",
  "pipeline_tag": "",
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