This Hugging Face repository hosts GGUF quantized versions of the Qwen2.5-7B-Instruct model created by Alibaba Cloud. The files are optimized for efficient local inference using tools such as llama.cpp, LM Studio, or Ollama. It includes chat templates and function calling support. The model is suitable for developers who want to run a strong open-source instruction-tuned LLM on consumer hardware without relying on cloud APIs.
Qwen2.5 7B Instruct is a Quantised & converted weights project. It focuses on running a capable 7B parameter language model locally with reduced memory and hardware requirements. It is built as an open-source project for developers and AI enthusiasts. Qwen2.5 7B Instruct is open source under the MIT license. It ships for the command line.
Behind Qwen2.5 7B Instruct is MaziyarPanahi, and it first shipped in 2023. Development happens publicly on GitHub with 121.2k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 3 catalogued features are Quantized Weights, Instruct Model, and GGUF Format.
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