DEVELOPER REFERENCE · VERIFIED MODEL EVIDENCE
Liquid AI
Compare 2 source-verified model records, repository licenses, published weight formats and dated evidence. No overall model ranking.
DIRECT ANSWER · SOURCE-OBSERVED REGISTRY
What Liquid AI model evidence is available?
Open Model Weights currently tracks 2 field-verified Liquid AI model records. In this indexed sample, the recorded modalities are 2 Text → text. The published repository license labels include 2 LFM Open License v1.0. The listed weight formats include Safetensors (2).
Coverage describes the model repositories indexed here, not every model released by the publisher. A checked source, an unknown field and an unchanged source revision are different states. No missing value is treated as a negative answer.
FIELD-BY-FIELD COMPARISON · PRIMARY LINKS
Model evidence at a glance.
Compare the exact entries in our registry. Parameter values are taken from the source-checked record; a license label is not a legal opinion, and recognized weight files are not an inference-speed benchmark. Open each record for the underlying citations and observed history.
| Model and parameter count | Modality | License evidence | Formats and files | Source and history |
|---|---|---|---|---|
| LFM2.5-24B-A2B23.9716B published parameters | Text → text | LFM Open License v1.0allowed-with-conditions commercial-use classificationLicense file ↗ | Safetensors11 files | Repository ↗Model evidence →History → |
| LFM2.5-24B-A2B Base23.9716B published parameters | Text → text | LFM Open License v1.0allowed-with-conditions commercial-use classificationInspect license evidence → | Safetensors11 files | Repository ↗Model evidence →History → |
Compare two to four models →Explore weight memory →Browse observed history →
LICENSE & COVERAGE · NOT LEGAL ADVICE
How do the recorded licenses differ?
Different models from the same developer can use different license terms. The distribution below describes the labels and field-level classifications observed in the listed repositories; it does not automatically establish permissions for a specific deployment.
License labels
- LFM Open License v1.02 of 2
Commercial-use classifications
- allowed-with-conditions2 of 2
Model modalities
- Text → text2 of 2
A classification of unknown is not a prohibition. Even a recognized permissive license can carry conditions. Review the license for the exact model and revision. Open the license explorer →
EVIDENCE METHOD · TRANSPARENT LIMITS
How this developer profile is assembled.
We aggregate the current source-checked model records, rather than publish an unverified corporate biography. Repository metadata, model cards, license files and recognized weight artifacts supply the facts where available. The record-check date does not assert that a model or its license changed on that date.
Source-derived runtime signals are not hardware benchmarks. Weight-only memory estimates omit runtime overhead, activations and other deployment requirements. Model-specific uncertainties remain visible in the individual evidence records.
Evidence policy →Full methodology →Independent measurements →
QUESTIONS · DIRECT ANSWERS
Frequently asked questions about Liquid AI models.
Which Liquid AI models are covered?
Open Model Weights currently lists 2 field-verified records for Liquid AI. Their recorded model modalities are: 2 Text → text. This is a registry sample, not an exhaustive publisher catalog.
Which licenses are recorded for Liquid AI models?
In the 2 indexed records, repository license labels are: 2 LFM Open License v1.0. License labels do not replace the model-specific terms or establish rights for every use case.
Where can I verify Liquid AI model information?
Each indexed model links to its official source repository and a field-level Open Model Weights profile. The most recent record checks shown here reach 2026-10-16; checking a repository does not imply that its contents changed.
COMPLETE INDEXED SELECTION