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cloudyu_-_Phoenix_DPO_60B-gguf
RichardErkhov/cloudyu_-_Phoenix_DPO_60B-gguf
cloudyu_-_Phoenix_DPO_60B-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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310
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Repo size
686 GB
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0
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.gguf795 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024
- SHA
- af96024e
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Phoenix_DPO_60B - GGUF
- Model creator: https://huggingface.co/cloudyu/
- Original model: https://huggingface.co/cloudyu/Phoenix_DPO_60B/
| Name | Quant method | Size |
|---|---|---|
| Phoenix_DPO_60B.Q2_K.gguf | Q2_K | 20.86GB |
| Phoenix_DPO_60B.IQ3_XS.gguf | IQ3_XS | 23.26GB |
| Phoenix_DPO_60B.IQ3_S.gguf | IQ3_S | 24.56GB |
| Phoenix_DPO_60B.Q3_K_S.gguf | Q3_K_S | 24.51GB |
| Phoenix_DPO_60B.IQ3_M.gguf | IQ3_M | 25.2GB |
| Phoenix_DPO_60B.Q3_K.gguf | Q3_K | 27.23GB |
| Phoenix_DPO_60B.Q3_K_M.gguf | Q3_K_M | 27.23GB |
| Phoenix_DPO_60B.Q3_K_L.gguf | Q3_K_L | 29.59GB |
| Phoenix_DPO_60B.IQ4_XS.gguf | IQ4_XS | 30.58GB |
| Phoenix_DPO_60B.Q4_0.gguf | Q4_0 | 31.98GB |
| Phoenix_DPO_60B.IQ4_NL.gguf | IQ4_NL | 32.27GB |
| Phoenix_DPO_60B.Q4_K_S.gguf | Q4_K_S | 32.22GB |
| Phoenix_DPO_60B.Q4_K.gguf | Q4_K | 34.14GB |
| Phoenix_DPO_60B.Q4_K_M.gguf | Q4_K_M | 34.14GB |
| Phoenix_DPO_60B.Q4_1.gguf | Q4_1 | 35.49GB |
| Phoenix_DPO_60B.Q5_0.gguf | Q5_0 | 39.0GB |
| Phoenix_DPO_60B.Q5_K_S.gguf | Q5_K_S | 39.0GB |
| Phoenix_DPO_60B.Q5_K.gguf | Q5_K | 40.12GB |
| Phoenix_DPO_60B.Q5_K_M.gguf | Q5_K_M | 40.12GB |
| Phoenix_DPO_60B.Q5_1.gguf | Q5_1 | 42.51GB |
| Phoenix_DPO_60B.Q6_K.gguf | Q6_K | 46.47GB |
| Phoenix_DPO_60B.Q8_0.gguf | Q8_0 | 60.18GB |
Original model description:
license: other tags:
- yi
- moe license_name: yi-license license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
this is a DPO fine-tuned MoE model with 60B parameter.
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.
GGUF format is ready at cloudyu/Phoenix_DPO_60B_gguf
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024