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RLHFlow_-_LLaMA3-SFT-gguf

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+ Quantization made by Richard Erkhov.
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+ [Github](https://github.com/RichardErkhov)
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+ LLaMA3-SFT - GGUF
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+ - Model creator: https://huggingface.co/RLHFlow/
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+ - Original model: https://huggingface.co/RLHFlow/LLaMA3-SFT/
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [LLaMA3-SFT.Q2_K.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q2_K.gguf) | Q2_K | 2.96GB |
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+ | [LLaMA3-SFT.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
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+ | [LLaMA3-SFT.IQ3_S.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.IQ3_S.gguf) | IQ3_S | 3.43GB |
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+ | [LLaMA3-SFT.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
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+ | [LLaMA3-SFT.IQ3_M.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.IQ3_M.gguf) | IQ3_M | 3.52GB |
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+ | [LLaMA3-SFT.Q3_K.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q3_K.gguf) | Q3_K | 3.74GB |
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+ | [LLaMA3-SFT.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
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+ | [LLaMA3-SFT.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
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+ | [LLaMA3-SFT.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
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+ | [LLaMA3-SFT.Q4_0.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q4_0.gguf) | Q4_0 | 4.34GB |
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+ | [LLaMA3-SFT.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
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+ | [LLaMA3-SFT.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
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+ | [LLaMA3-SFT.Q4_K.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q4_K.gguf) | Q4_K | 4.58GB |
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+ | [LLaMA3-SFT.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
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+ | [LLaMA3-SFT.Q4_1.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q4_1.gguf) | Q4_1 | 4.78GB |
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+ | [LLaMA3-SFT.Q5_0.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q5_0.gguf) | Q5_0 | 5.21GB |
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+ | [LLaMA3-SFT.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
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+ | [LLaMA3-SFT.Q5_K.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q5_K.gguf) | Q5_K | 5.34GB |
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+ | [LLaMA3-SFT.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
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+ | [LLaMA3-SFT.Q5_1.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q5_1.gguf) | Q5_1 | 5.65GB |
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+ | [LLaMA3-SFT.Q6_K.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q6_K.gguf) | Q6_K | 6.14GB |
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+ | [LLaMA3-SFT.Q8_0.gguf](https://huggingface.co/RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf/blob/main/LLaMA3-SFT.Q8_0.gguf) | Q8_0 | 7.95GB |
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+ Original model description:
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+ This is the SFT checkpoint used for the project [Online-RLHF](https://github.com/RLHFlow/Online-RLHF). Also check our [technical report here](https://arxiv.org/pdf/2405.07863).
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+ The model is trained from [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on a mixture of diverse open-source high-quality data for 1 epoch with detailed parameters in the report. It has not been trained by RLHF and can serve as a good starting point for the RLHF research.
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