Open competition targets 36.8% faster Laguna XS 2.1 inference on consumer Macs
gajesh · x · 2026-07-28
Open weights model competition aims to speed Laguna XS 2.1 on consumer Macs
A launch post from Eigen Labs and collaborators introduces an open autoresearch competition focused on making Laguna XS 2.1 inference as fast as possible on consumer Macs.
The post says Eigen’s agents have already found a 36.8% inference speedup before the competition even starts. The project is also framed as a public, open-weights effort where the community can keep pushing the model and its MLX inference engine further.
Key details:
- the target is Laguna XS 2.1
- the benchmark environment is consumer Macs
- the effort is open and competitive, not a closed internal optimization
- 36.8% faster inference has already been found
The whole point is to crowdsource better inference on local Apple hardware.
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