google_gemma-4-26B-A4B-it-GGUF provides GGUF quantized weights for the Gemma-4 26B instruction-tuned model. It enables efficient local inference using tools like llama.cpp. Multiple quantization levels are available to balance performance and model size.
In the Foundation models & chat space, Google Gemma 4 26B A4B It takes a focused approach. It focuses on running large Gemma language models efficiently on consumer hardware using quantized GGUF files. Google Gemma 4 26B A4B It is an open-source project aimed at Local LLM users and developers. Google Gemma 4 26B A4B It is open source under the MIT license. It ships for the web and the command line.
Behind Google Gemma 4 26B A4B It is bartowski, and it 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 projects in PulseGate's index. Among its 3 catalogued features are GGUF Format, Quantized Model, and Local Inference.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do