Companies & Models
News from the Hugging Face open-source community: popular models and datasets, leaderboard shifts, and a barometer of the open-source ecosystem.
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A Hugging Face author used ML Intern in HuggingChat to build six models over a few days for about USD 103 in total compute.
Why it matters: A first-hand account of prompting an agent to train six small models, with per-project budgets and costs.
Microsoft and Hugging Face released ThinkingBox, an agent benchmark that grades terminal backend state and side effects rather than final responses or tool-call validity.
Why it matters: The paper's 20-run repeat metric and failure breakdown show why a clean tool-call trace can still leave the wrong database state.
Ai2 open-sourced AstaBrief 8B, a model built on Qwen3-8B that turns a research question and retrieved literature excerpts into a cited report.
Why it matters: The post gives the training recipe and filtering lessons behind an open-weights scientific report model, useful for anyone building grounded generation.
H Company released Holo4, a new series of generalist computer-use agent models in two sizes.
Why it matters: The post gives the two model sizes, the interfaces they cover and the OSWorld 2.0 numbers, so readers can weigh a cheaper open-weight computer-use agent against closed frontier models.