Model Intelligence Sheet
richarderkhov/yunconglong_-_truthful_dpo_moe_19b-gguf overview
Quantization made by Richard Erkhov. Github Discord Request more models TruthfulDPOMOE19B - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | TruthfulDPOMOE19B.Q2K.gguf | Q2K | 6.58GB | | TruthfulDPOMOE19B.IQ3XS.gguf | IQ3XS | 7.34GB | | TruthfulDPOMOE19B.IQ3S.gguf | IQ3S | 7.75GB | | TruthfulDPOMOE19B.Q3KS.gguf | Q3KS | 7.73GB | | TruthfulDPOMOE19B.IQ3M.gguf | IQ3M | 7.94GB | | TruthfulDPOMOE19B.Q3K.gguf | Q3K | 8.59GB | | TruthfulDPOMOE19B.Q3KM.gguf | Q3KM | 8.59GB | | TruthfulDPOMOE19B.Q3KL.gguf | Q3KL | 9.32GB | | TruthfulDPOMOE19B.IQ4XS.gguf | IQ4XS | 9.66GB | | TruthfulDPOMOE19B.Q40.gguf | Q40 | 10.09GB | | TruthfulDPOMOE19B.IQ4NL.gguf | IQ4NL | 10.19GB | | TruthfulDPOMOE19B.Q4KS.gguf | Q4KS | 10.17GB | | TruthfulDPOMOE19B.Q4K.gguf | Q4K | 10.79GB | | TruthfulDPOMOE19B.Q4KM.gguf | Q4KM | 10.79GB | | TruthfulDPOMOE19B.Q41.gguf | Q41 | 11.2GB | | TruthfulDPOMOE19B.Q50.gguf | Q50 | 12.3GB | | TruthfulDPOMOE19B.Q5KS.gguf | Q5KS | 12.3GB | | TruthfulDPOMOE19B.Q5K.gguf | Q5K | 12.67GB | | TruthfulDPOMOE19B.Q5KM.gguf | Q5KM | 12.67GB | | TruthfulDPOMOE19B.Q51.gguf | Q51 | 13.41GB | | TruthfulDPOMOE19B.Q6K.gguf | Q6K | 14.66GB | | TruthfulDPOMOE19B.Q80.gguf | Q8_0 | 18.99GB | Original model description: --- license: other tags: --- * DPO Trainer with dataset jondurbin/truthy-dpo-v0.1
Downloads
89
Likes
0
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Truthful_DPO_MOE_19B.IQ3_M.gguf | GGUF | IQ3_M | 7.94 GB | Download |
| Truthful_DPO_MOE_19B.IQ3_S.gguf | GGUF | IQ3_S | 7.75 GB | Download |
| Truthful_DPO_MOE_19B.IQ3_XS.gguf | GGUF | IQ3_XS | 7.34 GB | Download |
| Truthful_DPO_MOE_19B.IQ4_NL.gguf | GGUF | IQ4_NL | 10.19 GB | Download |
| Truthful_DPO_MOE_19B.IQ4_XS.gguf | GGUF | IQ4_XS | 9.66 GB | Download |
| Truthful_DPO_MOE_19B.Q2_K.gguf | GGUF | Q2_K | 6.58 GB | Download |
| Truthful_DPO_MOE_19B.Q3_K.gguf | GGUF | Q3_K | 8.59 GB | Download |
| Truthful_DPO_MOE_19B.Q3_K_L.gguf | GGUF | Q3_K_L | 9.32 GB | Download |
| Truthful_DPO_MOE_19B.Q3_K_M.gguf | GGUF | Q3_K_M | 8.59 GB | Download |
| Truthful_DPO_MOE_19B.Q3_K_S.gguf | GGUF | Q3_K_S | 7.73 GB | Download |
| Truthful_DPO_MOE_19B.Q4_0.gguf | GGUF | — | 10.09 GB | Download |
| Truthful_DPO_MOE_19B.Q4_1.gguf | GGUF | — | 11.20 GB | Download |
| Truthful_DPO_MOE_19B.Q4_K.gguf | GGUF | Q4_K | 10.79 GB | Download |
| Truthful_DPO_MOE_19B.Q4_K_M.gguf | GGUF | Q4_K_M | 10.79 GB | Download |
| Truthful_DPO_MOE_19B.Q4_K_S.gguf | GGUF | Q4_K_S | 10.17 GB | Download |
| Truthful_DPO_MOE_19B.Q5_0.gguf | GGUF | — | 12.30 GB | Download |
| Truthful_DPO_MOE_19B.Q5_1.gguf | GGUF | — | 13.41 GB | Download |
| Truthful_DPO_MOE_19B.Q5_K.gguf | GGUF | Q5_K | 12.67 GB | Download |
| Truthful_DPO_MOE_19B.Q5_K_M.gguf | GGUF | Q5_K_M | 12.67 GB | Download |
| Truthful_DPO_MOE_19B.Q5_K_S.gguf | GGUF | Q5_K_S | 12.30 GB | Download |
| Truthful_DPO_MOE_19B.Q6_K.gguf | GGUF | Q6_K | 14.66 GB | Download |
| Truthful_DPO_MOE_19B.Q8_0.gguf | GGUF | — | 18.99 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
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"summary": "Quantization made by Richard Erkhov. Github Discord Request more models Truthful_DPO_MOE_19B - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | Truthful_DPO_MOE_19B.Q2_K.gguf | Q2_K | 6.58GB | | Truthful_DPO_MOE_19B.IQ3_XS.gguf | IQ3_XS | 7.34GB | | Truthful_DPO_MOE_19B.IQ3_S.gguf | IQ3_S | 7.75GB | | Truthful_DPO_MOE_19B.Q3_K_S.gguf | Q3_K_S | 7.73GB | | Truthful_DPO_MOE_19B.IQ3_M.gguf | IQ3_M | 7.94GB | | Truthful_DPO_MOE_19B.Q3_K.gguf | Q3_K | 8.59GB | | Truthful_DPO_MOE_19B.Q3_K_M.gguf | Q3_K_M | 8.59GB | | Truthful_DPO_MOE_19B.Q3_K_L.gguf | Q3_K_L | 9.32GB | | Truthful_DPO_MOE_19B.IQ4_XS.gguf | IQ4_XS | 9.66GB | | Truthful_DPO_MOE_19B.Q4_0.gguf | Q4_0 | 10.09GB | | Truthful_DPO_MOE_19B.IQ4_NL.gguf | IQ4_NL | 10.19GB | | Truthful_DPO_MOE_19B.Q4_K_S.gguf | Q4_K_S | 10.17GB | | Truthful_DPO_MOE_19B.Q4_K.gguf | Q4_K | 10.79GB | | Truthful_DPO_MOE_19B.Q4_K_M.gguf | Q4_K_M | 10.79GB | | Truthful_DPO_MOE_19B.Q4_1.gguf | Q4_1 | 11.2GB | | Truthful_DPO_MOE_19B.Q5_0.gguf | Q5_0 | 12.3GB | | Truthful_DPO_MOE_19B.Q5_K_S.gguf | Q5_K_S | 12.3GB | | Truthful_DPO_MOE_19B.Q5_K.gguf | Q5_K | 12.67GB | | Truthful_DPO_MOE_19B.Q5_K_M.gguf | Q5_K_M | 12.67GB | | Truthful_DPO_MOE_19B.Q5_1.gguf | Q5_1 | 13.41GB | | Truthful_DPO_MOE_19B.Q6_K.gguf | Q6_K | 14.66GB | | Truthful_DPO_MOE_19B.Q8_0.gguf | Q8_0 | 18.99GB | Original model description: --- license: other tags: --- * DPO Trainer with dataset jondurbin/truthy-dpo-v0.1 `` 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. ``",
"quick_links": [],
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"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\nTruthful_DPO_MOE_19B - GGUF\n- Model creator: https://huggingface.co/yunconglong/\n- Original model: https://huggingface.co/yunconglong/Truthful_DPO_MOE_19B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Truthful_DPO_MOE_19B.Q2_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q2_K.gguf) | Q2_K | 6.58GB |\n| [Truthful_DPO_MOE_19B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.IQ3_XS.gguf) | IQ3_XS | 7.34GB |\n| [Truthful_DPO_MOE_19B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.IQ3_S.gguf) | IQ3_S | 7.75GB |\n| [Truthful_DPO_MOE_19B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q3_K_S.gguf) | Q3_K_S | 7.73GB |\n| [Truthful_DPO_MOE_19B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.IQ3_M.gguf) | IQ3_M | 7.94GB |\n| [Truthful_DPO_MOE_19B.Q3_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q3_K.gguf) | Q3_K | 8.59GB |\n| [Truthful_DPO_MOE_19B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q3_K_M.gguf) | Q3_K_M | 8.59GB |\n| [Truthful_DPO_MOE_19B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q3_K_L.gguf) | Q3_K_L | 9.32GB |\n| [Truthful_DPO_MOE_19B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.IQ4_XS.gguf) | IQ4_XS | 9.66GB |\n| [Truthful_DPO_MOE_19B.Q4_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q4_0.gguf) | Q4_0 | 10.09GB |\n| [Truthful_DPO_MOE_19B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.IQ4_NL.gguf) | IQ4_NL | 10.19GB |\n| [Truthful_DPO_MOE_19B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q4_K_S.gguf) | Q4_K_S | 10.17GB |\n| [Truthful_DPO_MOE_19B.Q4_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q4_K.gguf) | Q4_K | 10.79GB |\n| [Truthful_DPO_MOE_19B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q4_K_M.gguf) | Q4_K_M | 10.79GB |\n| [Truthful_DPO_MOE_19B.Q4_1.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q4_1.gguf) | Q4_1 | 11.2GB |\n| [Truthful_DPO_MOE_19B.Q5_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q5_0.gguf) | Q5_0 | 12.3GB |\n| [Truthful_DPO_MOE_19B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q5_K_S.gguf) | Q5_K_S | 12.3GB |\n| [Truthful_DPO_MOE_19B.Q5_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q5_K.gguf) | Q5_K | 12.67GB |\n| [Truthful_DPO_MOE_19B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q5_K_M.gguf) | Q5_K_M | 12.67GB |\n| [Truthful_DPO_MOE_19B.Q5_1.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q5_1.gguf) | Q5_1 | 13.41GB |\n| [Truthful_DPO_MOE_19B.Q6_K.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q6_K.gguf) | Q6_K | 14.66GB |\n| [Truthful_DPO_MOE_19B.Q8_0.gguf](https://huggingface.co/RichardErkhov/yunconglong_-_Truthful_DPO_MOE_19B-gguf/blob/main/Truthful_DPO_MOE_19B.Q8_0.gguf) | Q8_0 | 18.99GB |\n\n\n\n\nOriginal model description:\n---\nlicense: other\ntags:\n- moe\n- DPO\n- RL-TUNED\n---\n\n * [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer) with dataset jondurbin/truthy-dpo-v0.1\n ```\nDPO Trainer\nTRL 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. \n ```\n\n\n",
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Source payload excerpt (from Hugging Face API)
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