LLM AtlasLLM AtlasSearch models

Liquid AI

LFM2.5-1.2B-Instruct

Overall 49Open weightopen-weight

Liquid AI's 1.2B LFM2.5-Instruct with 262K downloads on HuggingFace. Extended 128K context for edge reasoning and instruction following.

Last verified: 2026-03-29Confidence: HighSources: 4
textreasoningopen-source
Input price
Not applicable
Output price
Not applicable
Context window
131,072
Max output
8,192
Release date
2026-02-12
Access
open-weight, self-hosted
License
LFM Open License v1.0
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

Most downloaded Liquid AI model for edge instruction following.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • • 262K downloads
  • • 128K context
  • • Runs on mobile
  • • Open license

Trade-offs

  • • Very small model
  • • Limited capability

Crawlable benchmark analysis

LFM2.5-1.2B-Instruct is positioned as an edge-optimized reasoning model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 40/100, coding 30/100, enterprise readiness 55/100, vision 5/100, speed 99/100, and safety 60/100.

Pricing is not applicable for this self-hosted or open-weight entry. With a context window of 131,072 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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