| d1 FP16-weight browser-decision derivative |
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| Original model and model implementation: Liquid AI, LiquidAI/d1-omni-600M, |
| revision 02b55d7076f15129e59ab3f94783f32c4b088674. |
| Original license: LFM Open License v1.0. The exact upstream license is retained |
| as LICENSE. Liquid AI does not endorse this experimental derivative. |
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| MODIFIED MATERIALS NOTICE |
| This package is derived from the WebBrain FP32 release |
| webbrain-one/d1-browser-decision-fp32 (revision 71866f0ccab0b9fa92c6df64d1c34eacf2a7b2b8), whose |
| notice describes the earlier changes: audio components removed, decision head |
| and vision projector adapted, one rank-4 LoRA merged into four encoder Q/V |
| weights. |
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| For this package, every FP32 weight tensor with at least 4,096 elements in the |
| three ONNX graphs was rounded once to FP16 and is cast back to FP32 where it is |
| used (scripts/models/d1/convert_fp16.py in the WebBrain repository, copied to |
| provenance/). The token-embedding table is gathered in FP16 and only the |
| gathered rows are cast. Activations, attention, softmax and accumulation stay |
| FP32. No training, merge, selection or re-export from PyTorch was performed. |
| onnx/decision.onnx, onnx/decision.data, onnx/vision.onnx, onnx/vision.data, |
| onnx/projector.onnx and onnx/projector.data are modified derivatives. |
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| The immutable config.json retains a legacy dtype=float16 label from the |
| upstream source; package-manifest.json is authoritative (FP16 weights, FP32 |
| arithmetic). Tokenizer, calibration temperatures and answer semantics are |
| unchanged. |
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| This derivative is experimental. Synthetic labels/results and finite runtime |
| parity do not establish reliability on real independently developed websites. |
| No blanket commercial permission is granted here; consult LICENSE, including |
| its annual-revenue threshold terms. |
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| Third-party runtime code retains its separate upstream notices under licenses/. |
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