TOTORONG/qwen3_fine_tensor-Q4_K_M-GGUF
This model was converted to GGUF format from TOTORONG/qwen3_fine_tensor 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 TOTORONG/qwen3_fine_tensor-Q4_K_M-GGUF --hf-file qwen3_fine_tensor-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo TOTORONG/qwen3_fine_tensor-Q4_K_M-GGUF --hf-file qwen3_fine_tensor-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 TOTORONG/qwen3_fine_tensor-Q4_K_M-GGUF --hf-file qwen3_fine_tensor-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo TOTORONG/qwen3_fine_tensor-Q4_K_M-GGUF --hf-file qwen3_fine_tensor-q4_k_m.gguf -c 2048
- Downloads last month
- 1
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for TOTORONG/Qwen3_250522_GGUF_Q4
Base model
Qwen/Qwen3-32B Quantized
unsloth/Qwen3-32B-unsloth-bnb-4bit Finetuned
TOTORONG/qwen3_fine_tensor