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Endigest AI Core Summary
Holo3.1 improves computer-use agent capabilities with support for web, desktop, and mobile environments while enabling local deployment.
•Mobile environment performance improved significantly: 35B-A3B model from 67% to 79.3% accuracy, smaller 4B and 9B variants from 58% to 72%
•Added native function-calling protocol support for better compatibility with third-party agent frameworks, achieving near-parity performance with structured JSON outputs
•Quantized weights (FP8, Q4 GGUF, NVFP4) enable fast local inference with minimal performance degradation
•Available in four sizes (0.8B, 4B, 9B, 35B-A3B) optimized for different deployment scenarios from ultra-lightweight to state-of-the-art
•NVFP4 W4A16 quantization delivers 1.74× faster inference than BF16 baseline, with end-to-end speedup reaching ~2× when combined with agent optimizations
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
Hugging Face