cyankiwi/diffusiongemma-26B-A4B-it-AWQ-INT4 is a heavily quantized (AWQ INT4) version of a 26B parameter multimodal model based on Gemma. It combines language understanding with diffusion-based generation capabilities and includes an instruction-tuned chat template. The model is intended for local or optimized inference environments.
Diffusiongemma 26B A4B It sits in PulseGate's Foundation models & chat category. It focuses on running a large multimodal Gemma-based diffusion model in a highly quantized format for local inference. It is built as an open-source project for AI researchers and developers. Diffusiongemma 26B A4B It is open source under the Open Source license. The product ships for the web, the command line, and API.
It is developed by cyankiwi. It operates in a well-populated space: PulseGate tracks 8 similar tools. Key capabilities include Multimodal Generation, AWQ Quantization, and Instruction Tuning.
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