ME News reports that on April 6 (UTC+8), Hugging Face released the Gemma-4-21B-REAP model. According to the developers, the model performs well on reasoning tasks, even achieving improved accuracy. In terms of VRAM requirements, the model can run on as little as 12GB of VRAM with limited context, and requires 16GB for full context. The developers encourage members of the MLX and GGUF communities to try it out. (Source: InFoQ)
Hugging Face Launches Gemma-4-21B-REAP Model with Strong Reasoning Performance
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Summary
Hugging Face released the Gemma-4-21B-REAP model on April 6 (UTC+8), demonstrating strong reasoning capabilities. The model enhances accuracy in complex tasks and runs on as little as 12GB of GPU memory for partial context and 16GB for full context. Members of the MLX and GGUF communities are invited to test it. This update brings fresh on-chain news for crypto enthusiasts.
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