lmstudio-community/gemma-4-31B-it-QAT-GGUF provides GGUF quantized weights for the Gemma 4 31B instruction-tuned model. Optimized for local CPU/GPU inference with tools like LM Studio, llama.cpp, and Ollama. The model includes function-calling and structured output support via its chat template.
In the Foundation models & chat space, Gemma 4 31B It QAT takes a focused approach. It focuses on running large instruction-tuned language models efficiently on consumer hardware using quantized GGUF weights. Gemma 4 31B It QAT is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API.
Behind Gemma 4 31B It QAT is LM Studio Community, 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 Model, Instruction Tuned, and GGUF Format.
Summary written by a language model from the project’s public pages.
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