IBM Granite

webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It posts 98.2 on MATH-500 and 81.6 on LiveCodeBench, but trails similar-size models on knowledge benchmarks, according to MarkTechPost.

Meta has released Muse Glimmer, a 30B parameter multimodal model distilled from its larger Muse model, designed for local, privacy-aware agentic applications. The model ships under the Apache 2.0 license as part of Hugging Face Transformers v5.15.0, which also adds support for IBM's GraniteSWA/GraniteMoeSWA and the A.X-K1/K2 models.