Longxu Dou

I am a researcher at Tencent Hunyuan.

I was a researcher at Sea AI Lab.

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Compared with other CLI agents (e.g., Claude Code and Mini SWE-Agent), Reptile stands out for the following reasons:
• Terminal-only beyond Bash-only: Simple and stateful execution, which is more efficient than bash-only (you don’t need to specify the environment in every command). It doesn’t require the complicated MCP protocol—just a naive bash tool under the REPL protocol.
• Human-in-the-Loop Learning: Users can inspect every step and provide prompt feedback, i.e., give feedback under the USER role or edit the LLM generation under the ASSISTANT role.

Sailor2 is a community-driven project delivering state-of-the-art multilingual language models in three scales - 1B, 8B, and 20B parameters. Building upon the foundation of Qwen2.5, Sailor2 is continually pre-trained over 500B high-quality tokens to support 15 languages, including English, Chinese, Burmese, Cebuano, Ilocano, Indonesian, Javanese, Khmer, Lao, Malay, Sundanese, Tagalog, Thai, Vietnamese, Waray.

Sailor is a family of open language models ranging from 0.5B to 14B parameters, tailored for South-East Asian (SEA) languages. These models are continually pre-trained from Qwen1.5, a great language model for multilingual use cases. From Qwen1.5, Sailor models accept 200B to 400B tokens, primarily covering the languages of English, Chinese, Vietnamese, Thai, Indonesian, Malay, and Lao. The training leverages several techniques, including BPE dropout for improving the model robustness, aggressive data cleaning and deduplication, and small proxy models to optimize data mixture.

Design and source code from Jon Barron.