This is a community-quantized GGUF version of Google's Gemma 4 26B instruction-tuned model. It enables efficient local execution on CPUs and GPUs using tools like LM Studio, llama.cpp, and Ollama. The model supports text generation and conversational tasks while significantly reducing memory requirements through quantization.
Gemma 4 26B A4B It QAT sits in PulseGate's Foundation models & chat category. It focuses on running large language models efficiently on consumer hardware without cloud dependency. Gemma 4 26B A4B It QAT is an open-source project aimed at developers. The project is open source (MIT). Gemma 4 26B A4B It QAT is available on the web and the command line, and it can be self-hosted.
lmstudio-community builds and maintains Gemma 4 26B A4B It QAT, and the product first shipped in 2023. The project is developed in the open on GitHub with 121.2k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 4 catalogued features are quantized weights, GGUF format, and instruction tuned.
Latest indexed changes and source events
lmstudio-community/gemma-4-26B-A4B-it-QAT-GGUF verified by the PulseGate indexer
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