Qwen2.5-7B-Instruct-Q4_0-GGUF-Pure

This model was converted to GGUF format from Qwen/Qwen2.5-7B-Instruct using llama.cpp's quantization tool.

The model uses the "pure" Q4_0 quantization format without using k-quant mixtures and quantizes all tensors to the same type. This might be useful for testing on hardware that only supports a small fraction of the available precisions.

Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo shuojiang/Qwen2.5-7B-Instruct-Q4_0-GGUF-Pure --hf-file Qwen2.5-7B-Instruct-Q4_0-Pure.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo shuojiang/Qwen2.5-7B-Instruct-Q4_0-GGUF-Pure --hf-file Qwen2.5-7B-Instruct-Q4_0-Pure.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo shuojiang/Qwen2.5-7B-Instruct-Q4_0-GGUF-Pure --hf-file Qwen2.5-7B-Instruct-Q4_0-Pure.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo shuojiang/Qwen2.5-7B-Instruct-Q4_0-GGUF-Pure --hf-file Qwen2.5-7B-Instruct-Q4_0-Pure.gguf -c 2048