Colossal-AI
Making large AI models cheaper, faster and more accessible
Colossal-AI scores 6.1/10 (Solid) in Fine-Tuning.
Language Python License Apache-2.0 Stars 41.4k★ Type heavyweight Self-host Yes Repo hpcaitech/ColossalAI Homepage https://colossalai.org
Quality
Solid 6.1
Adoption 65
Activity 30
Maturity 98
Community 67
Capability 50
Show the math
Overall 6.1/10
value = 6.1/10
score = value
Adoption 6.9/10
value = 65.4/100
score = 1 + 9 * value / 100
Activity 3.7/10
value = 30.1/100
score = 1 + 9 * value / 100
Maturity 9.8/10
value = 97.8/100
score = 1 + 9 * value / 100
Community 7/10
value = 67.2/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100
Key metrics
41.4k★ GitHub stars
3/90d Recent commits
1 devs/90d Recent contributors
4.7y Project age
1mo ago Last commit
Gotchas
No gotchas documented yet. Contribute one if you know a constraint we missed.
Labels
- Self-hosted
Self-hosted
You deploy and operate it yourself; there is no hosted option here.
- Heavyweight
Heavyweight
Resource-heavy to run (GPU, large memory, or multi-service stack).
distributed parallelism rlhf memory training