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yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-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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+ Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B - GGUF
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+ - Model creator: https://huggingface.co/yunconglong/
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+ - Original model: https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B/
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q2_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q2_K.gguf) | Q2_K | 4.43GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_XS.gguf) | IQ3_XS | 4.94GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_S.gguf) | IQ3_S | 5.22GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_S.gguf) | Q3_K_S | 5.2GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ3_M.gguf) | IQ3_M | 5.34GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K.gguf) | Q3_K | 5.78GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_M.gguf) | Q3_K_M | 5.78GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q3_K_L.gguf) | Q3_K_L | 6.27GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ4_XS.gguf) | IQ4_XS | 6.5GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_0.gguf) | Q4_0 | 6.78GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.IQ4_NL.gguf) | IQ4_NL | 6.85GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K_S.gguf) | Q4_K_S | 6.84GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K.gguf) | Q4_K | 7.25GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_K_M.gguf) | Q4_K_M | 7.25GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_1.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q4_1.gguf) | Q4_1 | 7.52GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_0.gguf) | Q5_0 | 8.26GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K_S.gguf) | Q5_K_S | 8.26GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K.gguf) | Q5_K | 8.51GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_K_M.gguf) | Q5_K_M | 8.51GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_1.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q5_1.gguf) | Q5_1 | 9.01GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q6_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q6_K.gguf) | Q6_K | 9.84GB |
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+ | [Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q8_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-gguf/blob/main/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B.Q8_0.gguf) | Q8_0 | 12.75GB |
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+ Original model description:
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+ ---
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+ license: mit
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+ tags:
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+ - moe
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+ - DPO
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+ - RL-TUNED
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+ ---
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+
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+ * [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer) with dataset jondurbin/truthy-dpo-v0.1 to improve [TomGrc/FusionNet_7Bx2_MoE_14B]
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+ ```
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+ DPO Trainer
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+ TRL supports the DPO Trainer for training language models from preference data, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by Rafailov et al., 2023.
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+ ```
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+