IBM has released the updated Granite 4.2 language models in 3B, 8B, and 30B parameter sizes, purpose-built for enterprise agentic workflows with native step-by-step reasoning capabilities. Alongside the language models, IBM introduced Granite Speech 5.0 Turbo CTC, a lightweight speech model optimized for high-throughput transcription on edge devices.
IBM has released Granite 4.2, a family of dense, decoder-only reasoning large language models in 3B, 8B, and 30B sizes. These models are pre-trained from scratch on approximately 15 trillion tokens and feature a context window extended to 512K tokens.
IBM and Confluent have integrated IBM's Granite Time Series Foundation Models (TSFM) into Confluent Cloud, enabling real-time forecasting and anomaly detection directly within Apache Flink.
IBM has released Granite 4.2, a family of open-source reasoning language models in 3B, 8B, and 30B parameter sizes, built around explicit chain-of-thought capabilities rather than simple instruction following. The models are decoder-only dense transformers pre-trained on roughly 15 trillion tokens and post-trained via a multi-stage reinforcement learning chain that includes agentic RL for the larger variants.
IBM has released the Granite Speech 5.0 Turbo CTC model, a new speech-to-text solution designed for transcription tasks.
IBM has released the Granite 4.2 family of open-source reasoning models, featuring flagship 30B, mid-size 8B, and compact 3B variants. These models leverage native chain-of-thought capabilities to improve performance on math, coding, and complex multi-step problems.
IBM has released two new compact, 470M-parameter English speech recognition models in the Granite Speech family: `granite-speech-5.0-470m-turboctc` and `granite-speech-5.0-470m-turboctc-nc`. These encoder-only models achieve unprecedented transcription speeds of over 12,600 RTFx on an NVIDIA H200 GPU while maintaining high accuracy.
The llama.cpp project has released version b10514, which introduces conversion infrastructure for IBM's GraniteSWAForCausalLM and GraniteMoeSWAForCausalLM architectures. This update enables users to convert these specific model types into the GGUF format for use with llama.cpp.
IBM Research, alongside partners including Brookhaven National Laboratory and Hydro-Québec, has released GENCO, an open-source geometric neural corrective solver for steady-state grid analysis. The release is part of the OpenGridFM project hosted by Linux Foundation Energy (LF Energy) and includes the GridFM Development Framework to facilitate building and benchmarking neural grid solvers.