google/diffusiongemma-26B-A4B-it
image-text-to-text model by google
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Model card & documentation
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DiffusionGemma is a generative model built by Google DeepMind. Based on the 26B A4B Mixture-of-Experts (MoE) Gemma 4 architecture, DiffusionGemma generates tokens using discrete diffusion. This open-weights model is multimodal, handling text, image, and video inputs to generate text output. Built on a MoE foundation, DiffusionGemma is designed to improve generation speed (tokens per second) while remaining deployable across various hardware environments. DiffusionGemma builds upon the architectural and capability advancements of Gemma 4, introducing several core features: DiffusionGemma is engineered to reduce the sequential bottlenecks of standard causal language models. It employs an encoder-decoder architecture specifically optimized for inference speed. The encoder operates in a prefill capacity, processing the initial prompt and generating the KV cache. The decoder then utilizes bidirectional attention to process an input block (a 'canvas') of tokens, accessing the cached context via cross-attention. During inference, DiffusionGemma leverages multi-canvas sampling. Rather than generating one token at a…
Read the full model card ↗ · Preview checked 2026-10-31T00:37:08.962Z
Inside the original model card — Document outline
- Model Overview
- DiffusionGemma
- Benchmark Results
- Core Capabilities
- Getting Started
- Best Practices
- 1. Diffusion Sampling Settings
- 2. Thinking Mode Configuration
- 3. Multi-Turn Conversations
- 4. Modality order
- 5. Variable Image Resolution
- 6. Video Length
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
google/diffusiongemma-26B-A4B-it is a image-text-to-text model repository published by google on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 646,660
- Cumulative likes
- 1,315
- Hugging Face trending score
- 4
- Reported safetensors parameters
- 25,823,778,864
- Architecture
- DiffusionGemmaForBlockDiffusion
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-06-09T12:40:12.000Z
- Last modified
- 2026-07-15T16:35:45.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-29T06:49:45.308Z. Daily imports are snapshots, not real-time monitoring.
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