Together AI Blog company blog
Consistency diffusion language models: Up to 14x faster, no quality loss
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-training recipe that enables exact block-wise KV caching and trajectory-consistent step reduction — delivering up to 14.5x latency improvements
- Points
- 219
- HN comments
- 96
- Submissions
- 1
- Cited by
- 0 commenters
AI & Machine LearningSystems & Performance2026
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Feb 20, 2026 | Consistency diffusion language models: Up to 14x faster, no quality loss by zagwdt | 219 | 96 |
