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tensorblock/huihui-ai_Huihui-Qwen3-4B-abliterated-v2-GGUF

🤗 Hugging Face sourcetext-generationapache-2.04B activated31 GBGGUF✓ 2 checksumsupdated today
Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo tensorblock/huihui-ai_Huihui-Qwen3-4B-abliterated-v2-GGUF ./model-folder
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huihui-ai/Huihui-Qwen3-4B-abliterated-v2 - GGUF

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This repo contains GGUF format model files for huihui-ai/Huihui-Qwen3-4B-abliterated-v2.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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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
Huihui-Qwen3-4B-abliterated-v2-Q2_K.gguf Q2_K 1.669 GB smallest, significant quality loss - not recommended for most purposes
Huihui-Qwen3-4B-abliterated-v2-Q3_K_S.gguf Q3_K_S 1.887 GB very small, high quality loss
Huihui-Qwen3-4B-abliterated-v2-Q3_K_M.gguf Q3_K_M 2.076 GB very small, high quality loss
Huihui-Qwen3-4B-abliterated-v2-Q3_K_L.gguf Q3_K_L 2.240 GB small, substantial quality loss
Huihui-Qwen3-4B-abliterated-v2-Q4_0.gguf Q4_0 2.370 GB legacy; small, very high quality loss - prefer using Q3_K_M
Huihui-Qwen3-4B-abliterated-v2-Q4_K_S.gguf Q4_K_S 2.383 GB small, greater quality loss
Huihui-Qwen3-4B-abliterated-v2-Q4_K_M.gguf Q4_K_M 2.497 GB medium, balanced quality - recommended
Huihui-Qwen3-4B-abliterated-v2-Q5_0.gguf Q5_0 2.824 GB legacy; medium, balanced quality - prefer using Q4_K_M
Huihui-Qwen3-4B-abliterated-v2-Q5_K_S.gguf Q5_K_S 2.824 GB large, low quality loss - recommended
Huihui-Qwen3-4B-abliterated-v2-Q5_K_M.gguf Q5_K_M 2.890 GB large, very low quality loss - recommended
Huihui-Qwen3-4B-abliterated-v2-Q6_K.gguf Q6_K 3.306 GB very large, extremely low quality loss
Huihui-Qwen3-4B-abliterated-v2-Q8_0.gguf Q8_0 4.280 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/huihui-ai_Huihui-Qwen3-4B-abliterated-v2-GGUF --include "Huihui-Qwen3-4B-abliterated-v2-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/huihui-ai_Huihui-Qwen3-4B-abliterated-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'