Granite 3.2

AstaBrief

Allen Institute for AI

AstaBrief is Ai2’s 8B scientific report-generation model, trained from Qwen3-8B with citation-focused supervised fine-tuning and direct preference optimization. It turns a research question and retrieved literature excerpts into a complete cited report in a single pass, and powers Asta’s Fast report mode. Ai2 releases the weights, training data, and a workflow for using local PDFs. The reported latency advantage evaluates the complete report pipeline rather than the checkpoint alone. Citation grounding is improved but does not guarantee that a synthesis preserves every study’s scope or conclusions.

Granite 4.2

IBM

Granite 4.2 adds native reasoning and reasoning-guided tool use to IBM’s open enterprise language models. The release includes 3B, 8B, and 30B checkpoints with full, low-effort, and non-thinking modes, allowing developers to select a latency and reasoning tradeoff. Multi-stage reinforcement learning targets coding, mathematics, science, and agent execution. All sizes natively support 128K context; the 30B checkpoint additionally supports a documented extension to 512K. Apache-licensed weights enable private deployment and customization. The family page groups sizes while preserving their individual checkpoint names as variants.

Granite SWASH

IBM

Granite SWASH is IBM Research’s open architectural preview for efficient language modeling. The family explores sliding-window attention at every layer, learnable attention sinks, and hybrid transformer designs, with dense 2B and sparse 3B checkpoints. The sparse model activates approximately 600M parameters. These are general-purpose English base models for research and customization, rather than instruction-ready assistants. Apache-licensed weights allow study of the architecture and downstream training; chat and tool behavior should not be inferred from the base release.