diffusiongemma-26B-A4B-it-NVFP4
--- pipeline_tag: text-generation base_model: google/diffusiongemma-26B-A4B-it license: apache-2.0 license_name: apache-license-2.0 license_link: https://ai.google.dev/gemma/apache_2 tags: - nvidia - ModelOpt - DiffusionGemma-26B-A4B-IT - quantized - NVFP4 - nvfp4 --- DiffusionGemma 26B A4B IT is an open-weights multimodal generative model developed by Google DeepMind that processes text, image, and video inputs to produce text output via discrete diffusion. Built on the Gemma 4 26B A4B Mixture-of-Experts (MoE) architecture with 25.2B total parameters and 3.8B active parameters, the model employs an encoder-decoder design with bidirectional attention that generates tokens in parallel 256-token blocks, enabling high-speed generation exceeding 1,100 tokens per second at low batch sizes on NVIDIA Hopper H100 (FP8). DiffusionGemma 26B A4B IT supports a 256K token context window, configurable thinking (reasoning) mode, native function calling, and multilingual inference across 35+ languages. The NVIDIA DiffusionGemma 26B A4B IT NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA DiffusionGemma 26B A4B Model Card.
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--- pipeline_tag: text-generation base_model: google/diffusiongemma-26B-A4B-it license: apache-2.0 license_name: apache-license-2.0 license_link: https://ai.google.dev/gemma/apache_2 tags: - nvidia - ModelOpt - DiffusionGemma-26B-A4B-IT - quantized - NVFP4 - nvfp4 --- DiffusionGemma 26B A4B IT is an open-weights multimodal generative model developed by Google DeepMind that processes text, image, and video inputs to produce text output via discrete diffusion. Built on the Gemma 4 26B A4B Mixture-of-Experts (MoE) architecture with 25.2B total parameters and 3.8B active parameters, the model employs an encoder-decoder design with bidirectional attention that generates tokens in parallel 256-token blocks, enabling high-speed generation exceeding 1,100 tokens per second at low batch sizes on NVIDIA Hopper H100 (FP8). DiffusionGemma 26B A4B IT supports a 256K token context window, configurable thinking (reasoning) mode, native function calling, and multilingual inference across 35+ languages. The NVIDIA DiffusionGemma 26B A4B IT NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA DiffusionGemma 26B A4B Model Card.
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