tokyotech-llm/Qwen3-Swallow-8B-SFT-v0.2

Qwen3-Swallow-8B-SFT-v0.2 is an 8 billion parameter instruction-tuned large language model developed by tokyotech-llm, based on the Qwen3 architecture. This model is specifically optimized for bilingual Japanese-English proficiency, while also maintaining and enhancing performance in mathematical and coding tasks through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning with Verifiable Rewards (RLVR). Its primary use case is for applications requiring strong performance in both Japanese and English, particularly those involving STEM-related reasoning and code generation.