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d1-omni-600M

modelupdated 2026-10-08created 2026-10-08

Spec

AttributeValue
DeveloperLiquid AI
Released2026-10-07
Announced2026-10-07
Context windowunknown
Pricingunknown
Licenseunknown
AvailabilityDownloadable weights on Hugging Face; llama.cpp support
The announcement establishes weight availability, but does not identify a license or context limit. Those fields remain unknown pending a model-specific source. (source)

Release Date

Released on 2026-10-07 as an open-weight decision model accepting text with images, or text with audio. (source)

Benchmarks

Liquid AI reports 15.95 on the Decision Index v0.2.1 public split. It does not report the private vision split from v0.3 or a dedicated audio decision benchmark. (source)

This is an experimental checkpoint. The release reports inference timings only for d1-3B, so those timings must not be assigned to this model. (source)

Use Cases

The model returns a decision in one forward pass without generating output tokens. It is trained from LFM2.5-Encoder-350M, a bidirectional encoder, with added vision and audio encoders, for structured decisions using multimodal inputs. (source)

Compared To

  • d1-3B is the other checkpoint in the same release; the two use different backbones and input combinations. (source)
  • Jev supplies a related decision-model comparison in the wiki. The release's public-split score does not establish a matched comparison with every Jev deployment. (source)

Referenced by

Sources