LFM2.5 350M

Name: LFM2.5 350M
Author: Liquid AI

Liquid AIOpen WeightsPending Human Review

This separately launched compact tier adds extended pretraining and reinforcement learning to Liquid’s 350M architecture. It focuses on structured output, extraction, and tool selection rather than lengthy general reasoning. Both base and post-trained weights are available for developers who need low-cost specialized inference on small edge devices. Downloadable weights use the Liquid Open Model License, whose commercial-use conditions should be checked before deployment. Local inference supports private customization, while task reliability and performance require evaluation on the intended hardware.

2026-03-31

350M

Hybrid short-convolution and attention

Liquid Open Model License 1.0

Compare with other models

Specifications

Parameters: 350M
Architecture: Hybrid short-convolution and attention
License: Liquid Open Model License 1.0
Context Window: 32,768 tokens
Type: text
Modalities: text

Benchmark Scores

MMLU-Pro20.01

MMLU-Pro is an enhanced benchmark with over 12,000 challenging questions across 14 domains including...

IFBench40.69

Benchmark for instruction following capabilities....

Advanced Specifications

Model Family: LFM
API Access: Not Available
Chat Interface: Available
Multilingual Support: Yes
Variants: LFM2.5-350M

Capabilities & Limitations

Capabilities: instruction followinglocal inferencetext generationtool use
Known Limitations: Custom license conditions applySmall models have limited knowledge and complex reasoning capacityReported speed depends on hardware, precision, and context
Notable Use Cases: local assistantsprivate domain customizationedge agent workflows

Resources

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