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Qwen/Qwen2.5-72B-Instruct - GGUF

This repo contains GGUF format model files for Qwen/Qwen2.5-72B-Instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit ec7f3ac.

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
Qwen2.5-72B-Instruct-Q2_K.gguf Q2_K 29.812 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-72B-Instruct-Q3_K_S.gguf Q3_K_S 34.488 GB very small, high quality loss
Qwen2.5-72B-Instruct-Q3_K_M.gguf Q3_K_M 37.699 GB very small, high quality loss
Qwen2.5-72B-Instruct-Q3_K_L.gguf Q3_K_L 39.505 GB small, substantial quality loss
Qwen2.5-72B-Instruct-Q4_0.gguf Q4_0 41.232 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-72B-Instruct-Q4_K_S.gguf Q4_K_S 43.889 GB small, greater quality loss
Qwen2.5-72B-Instruct-Q4_K_M.gguf Q4_K_M 47.416 GB medium, balanced quality - recommended
Qwen2.5-72B-Instruct-Q5_0 Q5_0 50.164 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-72B-Instruct-Q5_K_S Q5_K_S 51.375 GB large, low quality loss - recommended
Qwen2.5-72B-Instruct-Q5_K_M Q5_K_M 54.447 GB large, very low quality loss - recommended
Qwen2.5-72B-Instruct-Q6_K Q6_K 64.348 GB very large, extremely low quality loss
Qwen2.5-72B-Instruct-Q8_0 Q8_0 77.263 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/Qwen2.5-72B-Instruct-GGUF --include "Qwen2.5-72B-Instruct-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/Qwen2.5-72B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
208
GGUF
Model size
72.7B params
Architecture
qwen2

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Inference Examples
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