This repository publishes a GGUF-format, Q4_K_M quantized artifact identified as a Qwen2.5 3B Instruct model. The repository is intended for local inference engines that support GGUF, such as llama.cpp-compatible runtimes.
Intended use
Use this checkpoint for local experimentation, offline assistants, and resource-constrained inference. It is not a guarantee of factual accuracy, safety, or suitability for high-impact decisions. Review the upstream Qwen license and model-card terms before redistribution or commercial use.
Example with a llama.cpp-compatible runtime
pip install llama-cpp-python
Then load the repository's GGUF file using the runtime's model-path option and configure a chat completion prompt according to the upstream Qwen2.5 Instruct template. Exact context length, GPU offload, and performance depend on the runtime and hardware.
Reproducibility
The Q4_K_M suffix describes the quantization variant. For reliable comparisons, record the runtime version, context length, sampling parameters, hardware, and the exact file revision. Do not assume that a quantized checkpoint has the same output quality or memory requirements as the original full-precision model.
