LFM3-1.7B

LFM3-1.7B ranks #215 out of 230 models on the public BenchAlign leaderboard, with a score of 22.99/100. Its evidence status is Estimated, and this profile shows 24 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

LFM3-1.7B ranks #175 out of 189 eligible models for knowledge and understanding, with a public category score of 25.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

LFM3-1.7B ranks #142 out of 155 eligible models for coding and programming, with a public category score of 13/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

LFM3-1.7B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

LFM3-1.7B ranks #123 out of 134 eligible models for agentic tool use and computer tasks, with a public category score of 14.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

LFM3-1.7B ranks #76 out of 156 eligible models for instruction following, with a public category score of 71.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

LFM3-1.7B is an open-weight model from LiquidAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

LFM3-1.7B belongs to the LFM3 family. Related tracked variants include LFM3-Audio-2B, LFM3-Omni-2B, LFM3-1.7B-Base. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

No. LFM3-1.7B currently has 28 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

LFM3-1.7B has a documented context window of 256K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.