Open Model WeightsDAILY EDITION
8 source-first briefs published in this edition.
The preliminary RIDM release includes separate optical-flow and pixel models that infer camera motion from video, with Safetensors checkpoints, reproducible inference code and explicit Apache-2.0 weight licensing.
NVIDIA’s latest telecom report says 89% of respondents view open-source models and software as important to AI strategy, while a new 30B Nemotron telco model and an open fine-tuning recipe target operator workloads.
The 27B Clef and 9B Clef-Flash turn text, JSON, images or video into typed probability outputs, with Apache-2.0 repositories, sharded Safetensors and Jev/SystemOne-compatible interfaces.
The quantized decision-model checkpoint cuts publisher-reported weight download size from 49.5 GB to 18 GB and weight memory to 17.1 GiB while retaining a Gemma 4 backbone and a separate System 1 decision layer.
The multimodal MoE activates 49B parameters, lists a 1M-token context window and is available first as an API preview; Mistral says downloadable weights will arrive by month-end.
The new Falcon family spans a 7B Emirati-dialect language model, a 1.6B speech recognizer and a compact Arabic OCR model, extending TII's stack across text, audio and documents.
Beam is a 501B-total, 23B-active sparse MoE for coding and agentic workloads, but the current release is an early-access preview rather than a downloadable checkpoint.
The runtime release combines a Hugging Face Hub download pipeline with new batch APIs, decision-model serving and explicit support for GLM-5.3-Flash, Clef and Qwen4Exp workflows.