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tensorblock/Qwen2.5-32B-Instruct-abliterated-GGUF

🤗 Hugging Face sourcetext-generationapache-2.032B activated247 GBGGUF✓ 2 checksumsupdated today
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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/Qwen2.5-32B-Instruct-abliterated-GGUF ./model-folder
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huihui-ai/Qwen2.5-32B-Instruct-abliterated - GGUF

This repo contains GGUF format model files for huihui-ai/Qwen2.5-32B-Instruct-abliterated.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

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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
Qwen2.5-32B-Instruct-abliterated-Q2_K.gguf Q2_K 11.467 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-32B-Instruct-abliterated-Q3_K_S.gguf Q3_K_S 13.404 GB very small, high quality loss
Qwen2.5-32B-Instruct-abliterated-Q3_K_M.gguf Q3_K_M 14.841 GB very small, high quality loss
Qwen2.5-32B-Instruct-abliterated-Q3_K_L.gguf Q3_K_L 16.063 GB small, substantial quality loss
Qwen2.5-32B-Instruct-abliterated-Q4_0.gguf Q4_0 17.360 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-32B-Instruct-abliterated-Q4_K_S.gguf Q4_K_S 17.494 GB small, greater quality loss
Qwen2.5-32B-Instruct-abliterated-Q4_K_M.gguf Q4_K_M 18.488 GB medium, balanced quality - recommended
Qwen2.5-32B-Instruct-abliterated-Q5_0.gguf Q5_0 21.084 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-32B-Instruct-abliterated-Q5_K_S.gguf Q5_K_S 21.084 GB large, low quality loss - recommended
Qwen2.5-32B-Instruct-abliterated-Q5_K_M.gguf Q5_K_M 21.665 GB large, very low quality loss - recommended
Qwen2.5-32B-Instruct-abliterated-Q6_K.gguf Q6_K 25.040 GB very large, extremely low quality loss
Qwen2.5-32B-Instruct-abliterated-Q8_0.gguf Q8_0 32.429 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/Qwen2.5-32B-Instruct-abliterated-GGUF --include "Qwen2.5-32B-Instruct-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/Qwen2.5-32B-Instruct-abliterated-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'