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LFM2.5-230M

Liquid AI · 2026-06-25 · 230M parameters

LFM2.5-230M is Liquid AI's most compact LFM2.5 model, released June 25, 2026 for data extraction and lightweight on-device agentic pipelines rather than reasoning-heavy work. Its 14 layers combine eight gated short-convolution blocks with six grouped-query attention blocks at hidden size 1,024; the card gives a 32,768-token context, ten languages and a 19T-token training budget, while its base model's card says 28T. The BF16 checkpoint contains 229,693,184 parameters, and the tokenizer assigns 64,402 distinct IDs within 65,536 embedding rows.

Benchmark scores

BenchmarkScore
BFCL v3 Overall Accuracy43.3
BFCL v4 Overall Accuracy21.0
Capability91.8
CaseReportBench - release-reported, metric unspecified22.5
GPQA Diamond25.4
IFBench - release-reported instruction following38.4
IFEval - release-reported, metric unspecified71.7
MMLU Pro20.3
Multi-IF37.7
τ²-bench (Retail)13.7
τ²-bench (Telecom)5.3
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