Model reference · open weights
react-native-executorch-all-mpnet is an open-weight embedding model from software-mansion. Built for phones (ExecuTorch). It does not run on a GPU server.
Summary of the software-mansion/react-native-executorch-all-mpnet-base-v2 model card, 2026-10-01
What it is
| Released by | software-mansion |
|---|---|
| Released | 2025-05-07 |
From the model card
This repository hosts the all-mpnet-base-v2 models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: all-mpnet-base-v2
| Path | Backend | Precision |
|---|---|---|
vulkan/all_mpnet_base_v2_vulkan_fp16.pte | vulkan | fp16 |
vulkan/all_mpnet_base_v2_vulkan_int8.pte | vulkan | int8 |
xnnpack/all_mpnet_base_v2_xnnpack_fp32.pte | xnnpack | fp32 |
config.json 39 B
tokenizer.json 694 kB
tokenizer_config.json 363 B
vulkan/all_mpnet_base_v2_vulkan_fp16.pte 208 MB
vulkan/all_mpnet_base_v2_vulkan_int8.pte 127 MB
vulkan/config.json 1.5 kB
xnnpack/all_mpnet_base_v2_xnnpack_fp32.pte 416 MB
xnnpack/config.json 933 B
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.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works
Running it
Built for phones (ExecuTorch). It does not run on a GPU server.