Holo3.1: Fast & Local Computer Use Agents

Source: HuggingFace Date: 2026-06-02 URL: https://huggingface.co/blog/Hcompany/holo31

Summary

Holo3.1 is a family of multimodal computer-use agent models from H Company, built on the Qwen foundation and released in four sizes (0.8B, 4B, 9B, 35B-A3B). The 35B variant reaches 79.3% on AndroidWorld (up from 67% for its predecessor) and supports GUI control across web, desktop, and mobile. Crucially, this is H Company’s first release to ship quantized weights (FP8, Q4 GGUF, NVFP4), enabling fully local deployment on consumer hardware at up to 1.74× higher throughput than full-precision.

Implications

• Local computer-use thread. Quantized weights that run on consumer hardware are the meaningful gate for local agent deployment — Holo3.1 clears it. This is a direct challenge to cloud-dependent computer-use APIs (Anthropic, OpenAI) and positions capable GUI agents as a self-hosted option.
• Open-weight ecosystem. Qwen-based fine-tunes continuing to close the gap with frontier API offerings on task-specific benchmarks (AndroidWorld, GUI navigation) reinforces the pattern: open base + task-specific post-training is eating proprietary API territory in narrow but operationally important domains.
• Agent orchestration. Support for both function-calling and JSON output across multiple agent frameworks (rather than a single integration target) suggests the model is being built to slot into existing orchestration stacks, not replace them — a pragmatic positioning for adoption.
• Local inference. The GGUF/NVFP4 paths make Holo3.1 deployable on the M-series and 3060-class hardware that most teams actually own, not just data-center-scale inference rigs.