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software-mansion/react-native-executorch-lfm2.5-colbert-350m
react-native-executorch-lfm2.5-colbert-350m is a sentence similarity model from software-mansion. Use it when you need a score for how close two texts are. It is set up for executorch. The card lists the license as other.
This repository hosts the lfm2.5-colbert-350m models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.
Downloads · 30 days
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.pte614 MB · 99%
From the Hugging Face model README
This repository hosts the lfm2.5-colbert-350m models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: LFM2.5-ColBERT-350M
| Path | Backend | Precision |
|---|---|---|
mlx/lfm_2_5_colbert_350m_mlx_int4.pte | mlx | int4 |
xnnpack/lfm_2_5_colbert_350m_xnnpack_8da4w.pte | xnnpack | 8da4w |
A backend directory carrying a NOTES.md and no .pte was exported and
not published. Its note records what went wrong.
coreml (why)config.json 41 B
coreml/NOTES.md 1.6 kB
mlx/config.json 1.2 kB
mlx/lfm_2_5_colbert_350m_mlx_int4.pte 179 MB
tokenizer.json 4.5 MB
tokenizer_config.json 90.2 kB
xnnpack/config.json 1.2 kB
xnnpack/lfm_2_5_colbert_350m_xnnpack_8da4w.pte 406 MB
These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.
To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.
To load these files in your own ExecuTorch runtime, read the compatibility note first.