Llama 3.2 3B Instruct GGUF is a quantized distribution of Meta's instruction-tuned language model in GGUF format. It is intended for local inference with tools such as llama.cpp and other compatible runtimes, serving developers and researchers who need an open-weight text model.
Llama 3.2 3B Instruct sits in PulseGate's Quantised & converted weights category. It focuses on running an instruction-tuned language model locally without relying on a hosted inference service. It is built as an open-source project for developers and machine learning practitioners. The project is open source (Apache-2.0). Llama 3.2 3B Instruct is available on the command line, and it can be self-hosted.
Behind Llama 3.2 3B Instruct is Unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 73.8k stars and 2.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 24 comparable projects. Among its 6 catalogued features are quantized model files, GGUF format, and instruction tuning.
Summary written by a language model from the project’s public pages.
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