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Pajari/gemma-4-26B-A4B-it-qat-Q4_0_V2
gemma-4-26B-A4B-it-qat-Q4_0_V2 is a machine learning model from Pajari. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
Quantization of Google's Gemma 4 26B A4B QAT checkpoint using a modified Q40 encoder that better preserves QAT weight geometry under standard GGUF FP16 block scales.
Downloads · 30 days
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From the Hugging Face model README
Quantization of Google's Gemma 4 26B A4B QAT checkpoint using a modified Q4_0 encoder that better preserves QAT weight geometry under standard GGUF FP16 block scales.
This GGUF utilizes the same encoding methodology that achieved a measured 7× reduction in KL divergence on the /Pajari/gemma-4-31B-it-qat-Q4_0_V2 model.
Q4_0_V2 will run in normal mainline llama.cpp.