transformers

NVIDIA has released Cosmos 3 Edge, a 4-billion-parameter open world model designed for edge AI systems. The model delivers real-time robot control at 15 Hz on NVIDIA Jetson devices, generating 32 actions per inference at 640×360 resolution.

NVIDIA has released Nemotron-3-Embed-1B-BF16, a 1.14 billion parameter text embedding model supporting 34 languages with a 32,768 token context window. The model generates 2048-dimensional embeddings and was derived from Ministral-3-3B-Instruct-2512 through two rounds of structured pruning and distillation, first to 2B then to 1.14B parameters.

Cohere and Cohere Labs released Cohere Transcribe Arabic, a 2B parameter automatic speech recognition model optimized for Arabic dialects and Arabic-English code-switching. The open-source model achieves a 25.9% average word error rate across major Arabic ASR benchmarks, outperforming models up to 30B parameters.

Allen Institute for AI (AI2) has released DiScoFormer, a transformer model that estimates both the density and score of any distribution from a sample in a single forward pass without retraining. In 100 dimensions, the model reduces score estimation error by 6.5x and density error by 37x compared to classical kernel density estimation.

StepFun has released Step-3.5-Flash-Base, a text generation model available on Hugging Face under Apache 2.0 license. The model is part of the Step 3.5 series and focuses on efficient inference.