FluidInference/d1-omni-600m-coreml
text-classification model by FluidInference
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Model card & documentation
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Core ML conversion of the text path of Liquid AI's d1-omni-600M (revision 02b55d70): the LFM2.5 encoder trunk plus the decision head, answering typed questions (yes/no, choice, score) in one forward pass with zero generated tokens. The vision and audio encoders are not included. Swift runtime and demos: FluidUse (D1OmniManager, D1OmniModelStore, ModerationDemo). Functions are named L{tokens}K{options}B{batch}: L64/L128/L256K2B1 and B8 (yes/no, one or eight questions per call) and L128/L256K8B1 (up to eight options). Inputs: inputids, attentionmask (B, L), markerpos, markermask (B, K), qtype (B,), all int32. Output logits (B, K): divide by the temperature in config.json and softmax over the used marker slots (a yes/no reads as [no, yes]). Prompt layout follows upstream prompt.py. flipped vs PyTorch). SiLU is written as x 0.5 (1 + tanh(x / 2)), the same function, which the Neural Engine computes accurately: 2…
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Model overview
FluidInference/d1-omni-600m-coreml is a text-classification model repository published by FluidInference on Hugging Face. The source reports the coreml library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- coreml
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- D1OmniModel
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-08T06:17:11.000Z
- Last modified
- 2026-10-08T06:17:20.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: LiquidAI/d1-omni-600M
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-08T06:40:12.812Z. Daily imports are snapshots, not real-time monitoring.
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