software-mansion/react-native-executorch-lfm2.5-embedding-350m

Rebuild the MLX int4 .pte with the runtime-locked ExecuTorch fork

Apply the model card standard

Apply the model card standard

Stop restating quantized, and drop the unused default

Correct the published metadata

Document why Core ML is not shipped

Update .pte files for v0.10.0

fix(mlx): rebuild delegate with SWM executorch fork (runtime-compatible); dynamic seq + MLX-native int4

Re-export LFM2.5-Embedding to new dynamic-shape flow (BOS-prepend, no-pad, get_dynamic_dims_forward)

Annotate dynamic token dim with min/max (2..512) in config shapes

Update README.md

Add LFM2.5-Embedding-350M XNNPACK (8da4w) + MLX (int4) for react-native-executorch

initial commit