LFM2 24B A2B

Name: LFM2 24B A2B
Author: Liquid AI

Liquid AIOpen WeightsPending Human Review

Liquid’s largest second-generation language model combines sparse experts, short convolutions, and grouped-query attention. It targets tool-using agents that can run on consumer computers while retaining cloud-serving options. The checkpoint card documents a 32K trained context; larger configuration ceilings are not treated as validated operating limits. 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.

2026-02-24

24B total, 2.3B active

Hybrid short-convolution and attention with sparse experts

Liquid Open Model License 1.0

Compare with other models

Specifications

Parameters: 24B total, 2.3B active
Architecture: Hybrid short-convolution and attention with sparse experts
License: Liquid Open Model License 1.0
Context Window: 32,768 tokens
Type: text
Modalities: text

Benchmark Scores

Advanced Specifications

Model Family: LFM
API Access: Not Available
Chat Interface: Available
Multilingual Support: Yes
Variants: LFM2-24B-A2B

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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