# Liquid AI — LFM2.5-8B-A1B: An Even Better On-Device Mixture of Experts

- Company: Liquid AI (liquid.ai)
- Announced: 2026-05-28
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.liquid.ai/blog/lfm2-5-8b-a1b
- Record: https://forck.live/items/16783-lfm2-5-8b-a1b-an-even-better-on-device-mixture-of-experts
- Subject: LFM / d1 models

Today, we're releasing LFM2.5-8B-A1B , an edge model built for fast, reliable tool calling on consumer hardware. It builds on our LFM2-8B-A1B release from October 2025, with an expanded 128K context window, scaled-up pretraining (from 12T to 38T tokens), and large-scale reinforcement learning. We also doubled its vocabulary to improve tokenization efficiency for non-Latin languages. The result is a model that chains tool calls, achieves tasks, and fits comfortably even on an entry-level laptop. The base (LFM2.5-8B-A1B-Base) and post-trained (LFM2.5-8B-A1B) models are available today on Hugging Face and our Playground . Check out our docs on how to run and fine-tune them locally. What changed since LFM2-8B-A1B Compared to LFM2-8B-A1B, this new version expands the context window from 32,768 to 128,000 tokens . This allows the model to process longer documents and reason for longer. Its vocabulary size was also scaled up from 65,536 to 128,000 to tokenize non-Latin scripts more efficiently . We see particularly strong compression gains in Hindi, Thai, Vietnamese, Indonesian, and Arabic. …

---

Record: https://forck.live/items/16783-lfm2-5-8b-a1b-an-even-better-on-device-mixture-of-experts
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md