Python · MIT
MoonshotAI/MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
★ 2.2k
Stars
160 forks · 15 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
10.8
Momentum / 100
see the breakdown below
20mo ago
Created
last push 19mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.53× the monthly pace |
| Freshness | 15 | 0.0 | last push 19mo ago; decays to zero at 180 days |
| Scale | 15 | 9.7 | 2.2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 10.8 | sum of the above |
Detail
| Topics | flash-attentionllmllm-servingllm-trainingmoepytorchtransformer |
| Matched on | LLM & Inference (llm-serving) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +7 stars over 26 days = 0.3/day |
| Lifetime average | 3.51 stars/day over 626 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |