LFM2
Liquid AI's edge-first small models — hybrid architecture built for phones, not data centers.
About
LFM2 is Liquid AI's second-generation family of small foundation models, launched July 10, 2025. Instead of pure transformers, it uses a hybrid of short convolutions and grouped-query attention, which Liquid says delivers strong quality at very low latency on CPUs and phones. The 1.2B flagship runs a 33K-token context and is open-weight under Liquid's own LFM Open License v1.0 — permissive but not OSI-approved, with restrictions above certain revenue thresholds.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Liquid-reported: record speed and quality in the edge class at launch (July 2025); Artificial Analysis intelligence index ~5 for the 1.2B variant.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Launched July 10, 2025 per company announcement; LFM Open License v1.0 is custom, not OSI-approved; 33K context; hybrid convolution-attention architecture. License: LFM Open License v1.0 — commercial use allowed with restrictions (revenue cap reported by third parties); not OSI-approved..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Launched July 10, 2025 per company announcement
- · LFM Open License v1.0 is custom, not OSI-approved
- · 33K context; hybrid convolution-attention architecture