Independent Core AI conversion of LiquidAI/d1-3B for text and image decisions.
Upstream: https://huggingface.co/LiquidAI/d1-3B
Revision: 051bcc464b01b9f92942b364d9586b0ef5912432

The upstream checkpoint, upstream code and converted weights are governed by the
LFM Open License v1.0. A copy of the license accompanies this distribution.

The conversion uses 1x1 convolution projections, activation scaling,
tanh-form SiLU and a split FFN. The language backbone and SigLIP2 vision tower
are exported as FP16 Core AI assets for the Apple Neural Engine. Tokenization,
image preprocessing, token-embedding lookup, the FP32 multimodal projector,
and option readout run on the host CPU. The model has not been retrained.
This project is not affiliated with or endorsed by Liquid AI.

Independent Core AI conversions of vllm-sr/d3-nano and vllm-sr/d3-mini,
fine-tuned from Qwen/Qwen3.5-2B and Qwen/Qwen3.5-4B, for text and image decisions.
Upstream: https://huggingface.co/vllm-sr/d3-nano, https://huggingface.co/vllm-sr/d3-mini
Revisions are pinned in src/tinkerbox_ane/d3/__init__.py and recorded in exported manifests.

Their checkpoints, upstream code and converted weights are governed by the
Apache License 2.0 (LICENSES/Apache-2.0.txt). The language backbone runs as
FP16 Core AI stages and the vision tower as an FP16 Core AI asset on the Apple
Neural Engine; tokenization, image preprocessing, position tables,
token-embedding lookup and option readout run on the host CPU. The models
have not been retrained. This project is not affiliated with or endorsed by
vllm-sr or Qwen.
