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LFM2.5 8B A1B

Liquid AIOpen WeightsPending Human Review

The sparse LFM2.5 tier combines expert routing, short convolutions, and attention for local agents. It extends context to 128K and expands the tokenizer for non-Latin scripts. Unlike its preceding LFM2 checkpoint, the post-trained version always generates reasoning traces. The model card’s measured parameter counts are more precise than the rounded A1B product name. 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.

2026-05-28
8.3B total, 1.5B active
Hybrid short-convolution and attention with sparse experts
Liquid Open Model License 1.0

Specifications

Parameters
8.3B total, 1.5B active
Architecture
Hybrid short-convolution and attention with sparse experts
License
Liquid Open Model License 1.0
Context Window
128,000 tokens
Type
text
Modalities
text

Benchmark Scores

Advanced Specifications

Model Family
LFM
API Access
Not Available
Chat Interface
Available
Multilingual Support
Yes
Variants
LFM2.5-8B-A1B

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

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