This is a GGUF quantized version of Alibaba's Qwen2.5-32B-Instruct model, optimized for local execution using tools like llama.cpp. It supports advanced features such as tool calling and follows specific chat templates. The model is designed for high-performance text generation and assistant-style interactions on consumer hardware.
Qwen2.5 32B Instruct is a Text generation project. It focuses on running large 32B parameter language models locally with reduced memory using GGUF quantization. It is built as an open-source project for developers and AI enthusiasts. Qwen2.5 32B Instruct is open source under the MIT license. It runs on the web, the command line, and API.
Behind Qwen2.5 32B Instruct is bartowski, and it first shipped in 2023. The project is developed in the open on GitHub with 121k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Key capabilities include GGUF Quantization, Tool Calling, and Instruct Model.
Summary written by a language model from the project’s public pages.
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