kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF

Warning

1.The model is only a fine-tuning test, the actual use of the results may not necessarily be good.

2.The model is fine-tuned on the Chinese dataset and may work better when used in Chinese.

kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF

This model was converted to GGUF format from kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test using llama.cpp via the ggml.ai's GGUF-my-repo space. 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 kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-uncensored-test-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-uncensored-test-q8_0.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 kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-uncensored-test-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo kxdw2580/Qwen2.5-3B-Instruct-Uncensored-Test-Q8_0-GGUF --hf-file qwen2.5-3b-instruct-uncensored-test-q8_0.gguf -c 2048