Story
LFM2.5-24B-A2B: Built for fast on-device agents
1 report
1 website
1 discussion
Latest report
Overview
LFM2.5-24B-A2B: Built for Fast On-Device Agents Today, we release LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built for fast, private agents on-device. It is the largest and final model in the LFM2.5 family, which now spans two orders of magnitude: from LFM2.5-230M to LFM2.5-24B-A2B. LFM2.5-24B-A2B is competitive with Qwen3.6-35B-A3B, a model with ~50% more tota...
Summary from liquid.ai.
Reports
One report so far. Additional coverage will appear here when it is linked to this story.
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · liquid.ai
Historical count: 13 · 13 saved in sample · Historical sample
Awaiting analysis