STACKQUADRANT

InternLM/InternEvo

Fine-tuning Tools

InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.

5.0
GitHub Metrics
Stars
420
Forks
68
Open Issues
70
Watchers
9
Contributors
48
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Aug 21, 2025
Created
Jan 16, 2024
Latest Release
v0.5.2dev20240525
Release Date
May 25, 2024
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
6.6

Has docs site (https://internevo.readthedocs.io/zh-cn/latest/?badge=latest). Description: 139 chars. Stars signal: 420. Contributors: 48. Score: 6.6/10

Community Healthw: 20%
4.5

Stars: 420. Contributors: 48. Watchers: 9. Forks: 68. Issue ratio: 16.7%. Score: 4.5/10

Maintenance Velocityw: 15%
2.3

Last commit: 238d ago. Weekly commits: 0. Latest release: v0.5.2dev20240525. Maturity bonus: 2.2y old. Score: 2.3/10

API Design & DXw: 20%
5.9

Stars/issues ratio: 6. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 420 stars. Score: 5.9/10

Production Readinessw: 15%
4.0

Battle-tested: 420 stars. Peer review: 48 contributors. Versioned: v0.5.2dev20240525. Licensed: Apache-2.0. Age: 2.2 years. Maintenance: last commit 238d ago. Score: 4/10

Ecosystem Integrationw: 10%
6.3

Fork interest: 68. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 420 stars. Has web presence. Score: 6.3/10

Tags
910bdeepspeed-ulyssesflash-attentiongemmainternlminternlm2llama3llavallm-frameworkllm-training
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration