RedHatAI/gemma-4-26B-A4B-it-FP8-dynamic
image-text-to-text model by RedHatAI
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Model card & documentation
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gemma-4-26B-A4B-it-FP8-dynamic This model is a quantized version of google/gemma-4-26B-A4B-it. It was evaluated on several tasks to assess its quality in comparison to the unquantized model. This model was obtained by quantizing the weights and activations of google/gemma-4-26B-A4B-it to FP8 data type using dynamic per-token quantization, ready for inference with vLLM. This optimization reduces the number of bits per parameter from 16 to 8, reducing the disk size and GPU memory requirements by approximately 50%. Weights are quantized statically using per-channel FP8 scaling, and activations are quantized dynamically at inference time using per-token scaling. Only the weights and activations of the linear operators within transformer blocks are quantized using LLM Compressor. Vision tower, embedding, output head, and MoE router layers are kept in their original precision. This model can be deployed using vLLM. For detailed instructions including multi-GPU deployment, multimodal inference, thinking mode, function calling, and benchmarking, see the Gemma 4…
Read the full model card ↗ · Preview checked 2026-10-30T19:27:04.828Z
Inside the original model card — Document outline
- Model Overview
- Model Optimizations
- Deployment
- Use with vLLM
- Creation
- Evaluation
- Accuracy
- Without thinking
- With thinking
- Reproduction
- GSM8K Platinum (lm-eval, 0-shot, 3 repetitions)
- MMLU-Pro (lm-eval, 0-shot, 3 repetitions)
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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
RedHatAI/gemma-4-26B-A4B-it-FP8-dynamic is a image-text-to-text model repository published by RedHatAI 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)
- 1,340,049
- Cumulative likes
- 59
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 26,544,133,710
- Architecture
- Gemma4ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-06T14:04:31.000Z
- Last modified
- 2026-08-13T13:09:29.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-26B-A4B-it
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 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.