Brianpuz/qwen-2.5-qwen-2.5-70b-instruct-Q2_K-GGUF

llama.cpp quantization

Using llama.cpp release b4944 for quantization.

Original model: https://huggingface.co/simonycl/qwen-2.5-qwen-2.5-70b-instruct

Run them directly with llama.cpp, or any other llama.cpp based project

Prompt format

<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><｜end▁of▁sentence｜><｜Assistant｜>

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Split
qwen-2.5-qwen-2.5-70b-instruct-q2_k.gguf	Q2_K	2.81 GB	False

Downloading using huggingface-cli

Click to view download instructions

First, make sure you have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Then, you can target the specific file you want:

huggingface-cli download https://huggingface.co/Brianpuz/qwen-2.5-qwen-2.5-70b-instruct-Q2_K-GGUF --include "qwen-2.5-qwen-2.5-70b-instruct-q2_k.gguf" --local-dir ./

If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download https://huggingface.co/Brianpuz/qwen-2.5-qwen-2.5-70b-instruct-Q2_K-GGUF --include "qwen-2.5-qwen-2.5-70b-instruct-q2_k.gguf/*" --local-dir ./

You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)