ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF
This model was converted to GGUF format from [`Qwen/Qwen2.5-Coder-14B`](https://huggingface.co/Qwen/Qwen2.5-Coder-14B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/Qwen/Qwen2.5-Coder-14B) for more details on the model. Install llama.cpp through brew (works on Mac and Linux) brew install llama.cpp Invoke the llama.cpp server or the CLI. llama-cli --hf-repo ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF --hf-file qwen2.5-coder-14b-q8_0.gguf -p "The meaning to life and the universe is" llama-server --hf-repo ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF --hf-file qwen2.5-coder-14b-q8_0.gguf -c 2048 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF --hf-file qwen2.5-coder-14b-q8_0.gguf -p "The meaning to life and the universe is" or ./llama-server --hf-repo ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF --hf-file qwen2.5-coder-14b-q8_0.gguf -c 2048
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