d1-2B, compiled for the browser
Liquid AI's d1-2B compiled into a fusor-ai bundle: the weights the browser runtime of liquidai-lmf3-wasm loads to answer named, typed questions about a state and its images in one pass on the device's CPU. Try it in the Space fusorlabs/liquidai-lmf3-wasm.
- Source:
LiquidAI/d1-2Bat revision97c57047d5852d77e02dfac211f8768aff77a8b2, compiled with theq7profile: every large matrix 7-bit but the patch embedding, kept in f32; with the checkpoint's calibration. - Format:
manifest.jsonlists every tensor and part; each part is named by its BLAKE3 hash, which the runtime checks as it loads. - Reproduce it:
just modelin liquidai-lmf3-wasm downloads the checkpoint and compiles the same bundle.
This is not a PyTorch or safetensors checkpoint: it only loads in the liquidai-lmf3-wasm runtime.
The model is under the LFM Open License v1.0 (LICENSE).
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