Haberler & Duyurular
Run gemma-4-26B-A4B-it

Run gemma-4-26B-A4B-it

Run gemma-4-26B-A4B-it

Running this model locally is fastest when deployed through Docker.

Follow the guidelines below to continue.

Next, run the Docker command to spin up the container.

🔐 Hash sum: b0c8cdeba75661ff7ecc54c4d33ce72f | 📅 Last update: 2026-06-24



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

The gemma-4-26B-A4B-it model represents a significant advancement in open‑source language models, combining a massive 26‑billion parameter architecture with optimized inference performance. It leverages an attention‑sparse design that reduces computational load while maintaining high fidelity in both factual and creative tasks. The model supports a 2048‑token context window and incorporates a refined instruction‑tuning pipeline that improves alignment with user intent. A comparison with peer models shows superior scores in reasoning, code generation, and multilingual understanding, as summarized below.

Metric Value
Parameters 26 B
Context Length 2048 tokens
Training Data Web‑scale multilingual corpus
Inference Speed ~120 tokens/s on GPU

Users can integrate the model into production environments via standard APIs, benefiting from its balanced trade‑off between size, speed, and capability.

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