A new ATOM analysis of about 1,500 open language models maps downloads, derivatives, inference share and performance, and reports Chinese models surpassed U.S.
3 results for: hugging-face
Hugging Face Releases ml-intern to Automate LLM Post‑Training Workflows
ml-intern is an open-source agent that automates literature review, dataset discovery, training script runs, and iterative evaluation for LLM post-training work.
MiniMax Open-Sources M2.7, Its First Self-Evolving Agent
MiniMax published M2.7 weights on Hugging Face; the model is billed as self-evolving and posts 56.22% on SWE‑Pro and 57.0% on Terminal Bench 2.