Rnj 1.5 Instruct

Tiny Aya Thinker

Cohere

Tiny Aya Thinker is Cohere Labs’ 3.35B multilingual reasoning research release, published with the Building Multilingual Bridges paper. L2-Thinker produces reasoning in the user’s language across 60 languages, while En-Thinker provides an English-reasoning comparison. The models build on a 32K Tiny Aya base checkpoint. Downloadable research weights and a public demonstration support multilingual reasoning experiments. The paper publication precedes the October 5 explanatory blog; that later blog is not the first release.

MathForm-8B

OpenBMB

MathForm-8B is OpenBMB’s language-to-code model for translating natural-language mathematical statements into Lean 4. It fine-tunes Qwen3-8B on FormalVerse with supervised learning followed by reinforcement learning using compilation and semantic-consistency feedback. The research framework retrieves Mathlib definitions and revises generated formalizations using diagnostics, supporting more faithful mathematical translation. Apache-licensed weights, approximately 367K verified examples, and evaluation code accompany the August 14 paper. This is a named mathematical language specialization; the model is distinct from the surrounding retrieval and verification pipeline. Successful compilation alone does not establish that a formal statement preserves the intended proposition.

Tiny Aya

Cohere

Tiny Aya is Cohere Labs’ 3.35B multilingual model family designed to make local language generation practical across 70 languages. The family includes a base checkpoint, a globally balanced instruction model, and Earth, Fire, and Water regional variants. These emphasize African and West Asian, South Asian, and European and Asia-Pacific languages respectively. Instruction checkpoints are available through Cohere’s Chat API and downloadable under a non-commercial license. The family’s 8K context and compact size suit offline assistants, translation experiments, and regional-language applications without requiring a large hosted model.