Flash-MSA: Accelerating Million-Token Training with Sparse Attention Kernels
rawsh
33 points
3 comments
July 12, 2026
Related Discussions
Found 5 related stories in 101.7ms across 9,716 title embeddings via pgvector HNSW
- Understanding FlashAttention Pt 1: Personal Notes ibobev · 13 pts · September 14, 2026 · 55% similar
- GLM-5.3-Flash Philpax · 958 pts · August 26, 2026 · 51% similar
- 10x More Efficient Pretraining meetpateltech · 18 pts · September 08, 2026 · 49% similar
- Superhuman Attention tsenart · 19 pts · August 28, 2026 · 48% similar
- MAI-Cyber-1-Flash inside MDASH migmartri · 225 pts · July 27, 2026 · 47% similar
Discussion Highlights (2 comments)
villgax
World’s first? Such lazy, much farming https://github.com/fla-org/native-sparse-attention?utm_sourc...
kamranjon
I’ve actually been really interested in Minimax M3 - seems like it flew under the radar but size wise might actually be runnable for local inference with a footprint somewhere between Deepseek V4 flash and pro. Has anyone used the new Minimax M3 model? I’m curious how it compares with Deepseek V4 and GLM 5.2 and other larger open weights models.