awesome-japanese-llm
by Community
日本語LLMまとめ - Overview of Japanese LLMs
OSS
awesome-japanese-llm
Added 1 June 2026
Overview
A community-maintained GitHub repository that curates a comprehensive overview of Japanese large language models. It organizes models by type, size, and capability, providing links and summaries for developers to compare and select appropriate LLMs for Japanese-language tasks.
Best for
Best for
Developers and researchers seeking a curated starting point for Japanese LLM selection
Use cases
- Discovering Japanese LLMs for text generation or translation
- Comparing model sizes and architectures for deployment decisions
- Finding pre-trained models for fine-tuning on Japanese datasets
Notes
A community-maintained GitHub repository that curates a comprehensive overview of Japanese large language models. It organizes models by type, size, and capability, providing links and summaries for developers to compare and select appropriate LLMs for Japanese-language tasks.
1,407 stars on GitHub. Last updated 2026-05-30. Licensed Apache-2.0.
Use cases
- Discovering Japanese LLMs for text generation or translation
- Comparing model sizes and architectures for deployment decisions
- Finding pre-trained models for fine-tuning on Japanese datasets
Pros
- Centralized, up-to-date list of Japanese LLMs from multiple sources
- Community-driven with 1407 stars indicating active interest and contributions
- Written in TypeScript, making it accessible for web-based tooling
Cons
- Not a tool itself; requires external model access or hosting
- May lack detailed performance benchmarks or evaluation metrics
- Relies on community updates, so some entries could become outdated
Indexed from awesome-llm and enriched against its public facts.
Pros
- Centralized, up-to-date list of Japanese LLMs from multiple sources
- Community-driven with 1407 stars indicating active interest and contributions
- Written in TypeScript, making it accessible for web-based tooling
Cons
- Not a tool itself; requires external model access or hosting
- May lack detailed performance benchmarks or evaluation metrics
- Relies on community updates, so some entries could become outdated
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.