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metadata
license: other
tags:
  - moe
  - DPO
  - RL-TUNED
  - TensorBlock
  - GGUF
base_model: yunconglong/Truthful_DPO_MOE_19B
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yunconglong/Truthful_DPO_MOE_19B - GGUF

This repo contains GGUF format model files for yunconglong/Truthful_DPO_MOE_19B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Model file specification

Filename Quant type File Size Description
Truthful_DPO_MOE_19B-Q2_K.gguf Q2_K 7.066 GB smallest, significant quality loss - not recommended for most purposes
Truthful_DPO_MOE_19B-Q3_K_S.gguf Q3_K_S 8.299 GB very small, high quality loss
Truthful_DPO_MOE_19B-Q3_K_M.gguf Q3_K_M 9.227 GB very small, high quality loss
Truthful_DPO_MOE_19B-Q3_K_L.gguf Q3_K_L 10.012 GB small, substantial quality loss
Truthful_DPO_MOE_19B-Q4_0.gguf Q4_0 10.830 GB legacy; small, very high quality loss - prefer using Q3_K_M
Truthful_DPO_MOE_19B-Q4_K_S.gguf Q4_K_S 10.920 GB small, greater quality loss
Truthful_DPO_MOE_19B-Q4_K_M.gguf Q4_K_M 11.583 GB medium, balanced quality - recommended
Truthful_DPO_MOE_19B-Q5_0.gguf Q5_0 13.212 GB legacy; medium, balanced quality - prefer using Q4_K_M
Truthful_DPO_MOE_19B-Q5_K_S.gguf Q5_K_S 13.212 GB large, low quality loss - recommended
Truthful_DPO_MOE_19B-Q5_K_M.gguf Q5_K_M 13.600 GB large, very low quality loss - recommended
Truthful_DPO_MOE_19B-Q6_K.gguf Q6_K 15.743 GB very large, extremely low quality loss
Truthful_DPO_MOE_19B-Q8_0.gguf Q8_0 20.390 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Truthful_DPO_MOE_19B-GGUF --include "Truthful_DPO_MOE_19B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Truthful_DPO_MOE_19B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'