Gemma 4 26B A4B
An open-source vision-language model from Google's Gemma series with 26 billion parameters. It supports multimodal vision-language tasks and represents the performance level achievable within an open-weights model architecture.
Timeline (last 90 days)
The public demo is deployed on Render's free tier, runs Stockfish inside the container, and uses Gemma 4 26B A4B on Google AI Studio for comment generation.
Gemma 4 26B A4B scored a high 96.7% on spatial localization (grounding), but slipped to 76.0% on step-level execution, indicating that open-source models know where objects are but still fall short in simulating the results of continuous actions.
All Facts (2)
The public demo is deployed on Render's free tier, runs Stockfish inside the container, and uses Gemma 4 26B A4B on Google AI Studio for comment generation.
50%UnverifiedGemma 4 26B A4B scored a high 96.7% on spatial localization (grounding), but slipped to 76.0% on step-level execution, indicating that open-source models know where objects are but still fall short in simulating the results of continuous actions.
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