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Baidu has published ERNIE 5.5 Flash Base, a 280B-parameter mixture-of-experts checkpoint with 14B active per token, trained on 33.5 trillion tokens. Weights are downloadable, but the licence excludes the EU, UK and South Korea and limits commercial use above $50 million revenue.
Three weeks after its API preview, Mistral has published the weights of Mistral Large 4 under a modified MIT licence. The natively multimodal mixture-of-experts model posts the best open-weight scores on Terminal-Bench 4.0 and FrontierCode 2.0, and ships with vLLM, SGLang and NVIDIA NIM support for self-hosting.
At GTC Berlin, Nvidia expanded its open-weights library with Nemotron 3.5-based Retriever embedding and reranking models covering 34 languages, a refreshed Nemotron Parse for PDF extraction and the compact Alpamayo 2 Edge driving model. The releases follow Nemotron 3.5 Super VL and precede the download of the 74B Nemotron 3.5 Bolt.
Recent open-weight releases match closed models on grounded QA and long-context retrieval, giving sovereignty-sensitive deployments a credible on-premise path.
