Local throughput reaches 568 tokens per second using NVFP4
samsja#1262
Computer-use agents are moving from the cloud to your local machine. Fast.
When we launched Holo3 two months ago, the production feedback was clear: digital agents need to be blazing fast, cost-effective, and versatile.
Today, we're dropping Holo 3.1, engineered to run anywhere, instantly.
Massive token throughput. Low latency. Ready for your local workflow!
🌞This is big Local AI news! A new open-source Computer-Use LLM has just launched.
Holo 3.1 is H Company’s (🇫🇷) new local computer-use agent model that beats Qwen3.5-397B, Kimi-K2.5, and Sonnet 4.6!
Since it is built for local deployment → ⬩ Runs fully on your machine (MacBook, Windows PC, DGX Spark, RTX Spark) ⬩ Based on Qwen architecture, specialized for GUI understanding & computer control ⬩ Optimized checkpoints: NVFP4, FP8 & Q4 GGUF (0.8B to 35B sizes) ⬩ Strong gains: 79.3% on AndroidWorld benchmark (35B model)
💻 Comparison to Qwen3.5: Holo 3.1 is fine-tuned specifically for computer-use agents (screen understanding, planning, clicking, navigation). Better at real GUI tasks than general-purpose Qwen3.5, especially when running locally.⚡
Computer-use agents are moving from the cloud to your local machine. Fast.
When we launched Holo3 two months ago, the production feedback was clear: digital agents need to be blazing fast, cost-effective, and versatile.
Today, we're dropping Holo 3.1, engineered to run anywhere, instantly.
Massive token throughput. Low latency. Ready for your local workflow!
Local throughput reaches 568 tokens per second using NVFP4
samsja#1262Computer-use agents are moving from the cloud to your local machine. Fast.
When we launched Holo3 two months ago, the production feedback was clear: digital agents need to be blazing fast, cost-effective, and versatile.
Today, we're dropping Holo 3.1, engineered to run anywhere, instantly.
Massive token throughput. Low latency. Ready for your local workflow!
Many users are excited about Holo 3.1's local inference for fast computer-use agents because it delivers strong on-device performance that avoids cloud latency and costs.
