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Release v5.5.0
Summary
Release v5.5.0 huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k Release v5.5.0 ArthurZucker released this 02 Apr 16:15 · 15 commits to v5.5-release since this release v5.5.0 c1c3424 Release v5.5.0 New Model additions Gemma4 Gemma 4 is a multimodal model with pretrained and instruction-tuned variants, available in 1B, 13B, and 27B parameters. The architecture is mostly the same as the previous Gemma versions.
Why it matters
This Research is relevant to the technology intelligence record because it involves GitHub, Google, OpenAI, Amazon Web Services. The source article should remain the factual reference for follow-up coverage.
Key facts
- huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k Release v5.5.0 ArthurZucker released this 02 Apr 16:15 · 15 commits to v5.5-release since this release v5.5.0 c1c3424 Release v5.5.0 New Model additions Gemma4 Gemma 4 is a multimodal model with pretrained and instruction-tuned variants, available in 1B, 13B, and 27B parameters.
- The architecture is mostly the same as the previous Gemma versions.
- The key differences are a vision processor that can output images of fixed token budget and a spatial 2D RoPE to encode vision-specific information across height and width axis.
- You can find all the original Gemma 4 checkpoints under the Gemma 4 release.
- The key difference from previous Gemma releases is the new design to process images of different sizes using a fixed-budget number of tokens .
- Unlike many models that squash every image into a fixed square (like 224×224), Gemma 4 keeps the image's natural aspect ratio while making it the right size.
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