RealFeedApp beta
- ALHR reads only 30 keys per query
The ALHR method employs hierarchical routing to lower VRAM usage from 57 to 422 MB, achieving 92.1% top-1 accuracy at 1024 tokens with NlogN inference scaling.
- Field
- how neural networks work
- What they did
- The ALHR system uses hierarchical trees to route queries, minimizing the number of keys read during processing while maintaining high answer accuracy.
- Why it matters
- This significantly reduces video memory (VRAM) usage and speeds up model operation, as the number of operations grows linearly rather than quadratically, which is critical for processing very long texts.
#alhr#sparse attention#kv compression#llm inference#vram optimization
