InternLM / xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Why this job: matched by what the repo talks about: model, engine, moe, large
What it does
XTuner V1 is a next-generation LLM training engine specifically designed for ultra-large-scale MoE models. Unlike traditional 3D parallel training architectures, XTuner V1 is optimized for the mainstream MoE training scenarios prevalent in today's academic research.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 5,221
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.0
- Released 16 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 13
- Last 90 days
- Issues
- 60% closed
- 247 still open
- Pull requests
- 1,215 merged
- 173 waiting
- Releases
- 28
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| vllm-project / vllm | 96,774 | today | Apache-2.0 | Mac, Linux |
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
- Dockerfile <1%
Topics
- llm
- agent
- deepseek-v3
- gpt-oss
- internvl
- kimi-k2
- multimodal
- qwen3-moe
- reinforcement-learning
- intern-s1
- qwen3-vl
Project record
- JobLocal LLMs
- StatusListed
- Commits1,494
- Forks464
- Watching33
- Stars in 28 days+17
- CreatedJul 11, 2023
- First seen by usNov 7, 2026
- CheckedNov 12, 2026