This is an INT4 quantized version of the Gemma-4-26B instruction-tuned model created by Intel using the AutoRound quantization technique. It is designed for efficient local inference while maintaining high performance. The model is hosted on Hugging Face and can be used with the Transformers library for text generation and conversational tasks.
Gemma 4 26B A4B It Int4 AutoRound is a Foundation models & chat project. It focuses on running large language models efficiently on consumer or edge hardware with reduced memory and compute requirements. Gemma 4 26B A4B It Int4 AutoRound is an open-source project aimed at developers. Gemma 4 26B A4B It Int4 AutoRound is open source under the Apache-2.0 license. It runs on the web and API.
Behind Gemma 4 26B A4B It Int4 AutoRound is Intel, and it first shipped in 2024. The project is developed in the open on GitHub with 1.5k stars and 160 commits in the last 90 days. PulseGate's similarity index places it among 7 comparable projects. Key capabilities include Quantized Weights, Instruction Tuned, and Optimized Inference.
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