RC RANDOM CHAOS

mixture-of-experts

2 posts

Rewriting weights live on 8GB of VRAM
Article

Rewriting weights live on 8GB of VRAM

mini-AGI trains a byte-level MoE model from scratch on an 8GB GPU, keeping weights on disk and paging experts in, learning as it reads.

One billion fire, eight billion sit in memory
Article

One billion fire, eight billion sit in memory

Liquid AI's LFM2.5-8B-A1B is an 8B edge MoE firing ~1B active params per token, with 128K context, reasoning-only output, and fast CPU and GPU inference.