lmstudio-ai / lmstudio-ai/mlx-engine
[feature] Support for TriAttention
Open
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 133
- Avg merge
- 21h 6m
- Merged PRs (30d)
- 1
Description
Consider adding support for TriAttention which makes the KV cache more efficient. Details:
https://arxiv.org/html/2604.04921v1
They have MLX support available:
https://github.com/WeianMao/triattention/blob/main/docs/mlx.md
Contributor guide
Research direction
Start by reading the linked TriAttention paper and the referenced MLX implementation notes in docs/mlx.md. Then identify the engine's attention and KV-cache integration points and determine how support should be validated, including whether the cache-efficiency goal is met.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100