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metadata
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model: huihui-ai/QwQ-32B-Preview-abliterated
tags:
  - chat
  - abliterated
  - uncensored
  - TensorBlock
  - GGUF
library_name: transformers
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

huihui-ai/QwQ-32B-Preview-abliterated - GGUF

This repo contains GGUF format model files for huihui-ai/QwQ-32B-Preview-abliterated.

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

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
QwQ-32B-Preview-abliterated-Q2_K.gguf Q2_K 12.313 GB smallest, significant quality loss - not recommended for most purposes
QwQ-32B-Preview-abliterated-Q3_K_S.gguf Q3_K_S 14.392 GB very small, high quality loss
QwQ-32B-Preview-abliterated-Q3_K_M.gguf Q3_K_M 15.935 GB very small, high quality loss
QwQ-32B-Preview-abliterated-Q3_K_L.gguf Q3_K_L 17.247 GB small, substantial quality loss
QwQ-32B-Preview-abliterated-Q4_0.gguf Q4_0 18.640 GB legacy; small, very high quality loss - prefer using Q3_K_M
QwQ-32B-Preview-abliterated-Q4_K_S.gguf Q4_K_S 18.784 GB small, greater quality loss
QwQ-32B-Preview-abliterated-Q4_K_M.gguf Q4_K_M 19.851 GB medium, balanced quality - recommended
QwQ-32B-Preview-abliterated-Q5_0.gguf Q5_0 22.638 GB legacy; medium, balanced quality - prefer using Q4_K_M
QwQ-32B-Preview-abliterated-Q5_K_S.gguf Q5_K_S 22.638 GB large, low quality loss - recommended
QwQ-32B-Preview-abliterated-Q5_K_M.gguf Q5_K_M 23.262 GB large, very low quality loss - recommended
QwQ-32B-Preview-abliterated-Q6_K.gguf Q6_K 26.886 GB very large, extremely low quality loss
QwQ-32B-Preview-abliterated-Q8_0.gguf Q8_0 34.821 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/QwQ-32B-Preview-abliterated-GGUF --include "QwQ-32B-Preview-abliterated-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/QwQ-32B-Preview-abliterated-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'