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yunconglong_-_MoE_13B_DPO-gguf
RichardErkhov/yunconglong_-_MoE_13B_DPO-gguf
yunconglong_-_MoE_13B_DPO-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Repo size
146 GB
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.gguf169 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024
- SHA
- 9758cb51
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MoE_13B_DPO - GGUF
- Model creator: https://huggingface.co/yunconglong/
- Original model: https://huggingface.co/yunconglong/MoE_13B_DPO/
| Name | Quant method | Size |
|---|---|---|
| MoE_13B_DPO.Q2_K.gguf | Q2_K | 4.43GB |
| MoE_13B_DPO.IQ3_XS.gguf | IQ3_XS | 4.95GB |
| MoE_13B_DPO.IQ3_S.gguf | IQ3_S | 5.22GB |
| MoE_13B_DPO.Q3_K_S.gguf | Q3_K_S | 5.2GB |
| MoE_13B_DPO.IQ3_M.gguf | IQ3_M | 5.35GB |
| MoE_13B_DPO.Q3_K.gguf | Q3_K | 5.78GB |
| MoE_13B_DPO.Q3_K_M.gguf | Q3_K_M | 5.78GB |
| MoE_13B_DPO.Q3_K_L.gguf | Q3_K_L | 6.27GB |
| MoE_13B_DPO.IQ4_XS.gguf | IQ4_XS | 6.5GB |
| MoE_13B_DPO.Q4_0.gguf | Q4_0 | 6.78GB |
| MoE_13B_DPO.IQ4_NL.gguf | IQ4_NL | 6.85GB |
| MoE_13B_DPO.Q4_K_S.gguf | Q4_K_S | 6.84GB |
| MoE_13B_DPO.Q4_K.gguf | Q4_K | 7.25GB |
| MoE_13B_DPO.Q4_K_M.gguf | Q4_K_M | 7.25GB |
| MoE_13B_DPO.Q4_1.gguf | Q4_1 | 7.52GB |
| MoE_13B_DPO.Q5_0.gguf | Q5_0 | 8.26GB |
| MoE_13B_DPO.Q5_K_S.gguf | Q5_K_S | 8.26GB |
| MoE_13B_DPO.Q5_K.gguf | Q5_K | 8.51GB |
| MoE_13B_DPO.Q5_K_M.gguf | Q5_K_M | 8.51GB |
| MoE_13B_DPO.Q5_1.gguf | Q5_1 | 9.01GB |
| MoE_13B_DPO.Q6_K.gguf | Q6_K | 9.84GB |
| MoE_13B_DPO.Q8_0.gguf | Q8_0 | 12.75GB |
Original model description:
license: other tags:
- moe
- DPO
- RL-TUNED
- DPO Trainer with dataset Intel/orca_dpo_pairs to improve [yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B]
DPO Trainer 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.
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024