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COMPANY · ENTITY #8627
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H company announced Holo4, a new series of generalist agentic models (Holo4-27B and Holo4-35B-A3B) available via the H Models API, plus an updated Holotron4 Nano. The models are trained to interact across GUIs, code sandboxes, Android/web and APIs, report benchmark scores on OSWorld 2.0 and AutomationBench, and H company has published the evaluation trajectories at trajectories.hcompany.ai and on Hugging Face.
arXiv:2609.28554v1 presents the Pistis model family—27B- and 9B-parameter multimodal LLMs built on Qwen3.6 and Qwen3.5—trained via a scalable post-training framework that starts with large-scale multimodal supervised fine-tuning and then applies Interleaved Distillation and Reinforcement Learning (IDRL). The paper describes two specialized variants (Pistis-Thinking for deep multimodal reasoning and Pistis-Agentic for long-horizon planning and tool use), plus a system method Pistis-Auto-Harnessing (PAH); both scales reportedly outperform their corresponding base models, with the Agentic variant strong in multimodal search.
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