Tiny Aya L2-Thinker Improves In-Language Reasoning at 3.35B Scale
September 8, 2026
The Tiny Aya L2-Thinker 3.35B model addresses English-centric reasoning bias by optimizing SFT data composition and scheduling. This approach enables L2 reasoning, allowing models to maintain logical consistency and intent within the user's native language rather than defaulting to English.
HOW THIS AFFECTS YOU
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builderYou can deploy smaller, more effective reasoning models for non-English speaking user bases.
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researcherYou can investigate how data-centric scheduling in SFT improves cross-lingual reasoning generalization.