Liquid AI ships LFM2.5-8B-A1B, an 8B on-device MoE trained on 38T tokens
The on-device 8B MoE adds a 128K context, 128K vocab, and scaled pretraining to improve tool-calling on laptops, with base and post-trained weights on Hugging Face.
By Ryan Merket · Published
Primary source: Liquid AI
Why it matters
Edge AI is shifting from demos to deployables. An 8B MoE that chains tools, runs in llama.cpp/MLX, and handles 128K context lowers latency, cuts cloud costs, and makes private, on-device agents viable.
Liquid AI released LFM2.5-8B-A1B, a new 8B-parameter mixture-of-experts model for on-device tool use, expanding context to 128,000 tokens and scaling pretraining to 38T tokens, in a blog post on May 28th.…