Triangle104/Qwen3-4B-Mixture-Q4_K_M-GGUF

This model was converted to GGUF format from bunnycore/Qwen3-4B-Mixture using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Qwen3-4B-Mixture is a merged language model built upon the Qwen3-4B architecture. This model is a result of combining several fine-tuned versions of Qwen3-4B, with a particular emphasis on incorporating "uncensored" or less restricted variants. The intention behind this merger is to potentially enhance the model's breadth of knowledge and reduce certain inherent biases or limitations often found in more heavily moderated models.

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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 Triangle104/Qwen3-4B-Mixture-Q4_K_M-GGUF --hf-file qwen3-4b-mixture-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Qwen3-4B-Mixture-Q4_K_M-GGUF --hf-file qwen3-4b-mixture-q4_k_m.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 Triangle104/Qwen3-4B-Mixture-Q4_K_M-GGUF --hf-file qwen3-4b-mixture-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Qwen3-4B-Mixture-Q4_K_M-GGUF --hf-file qwen3-4b-mixture-q4_k_m.gguf -c 2048