Model reference · open weights

react-native-executorch-all-mpnet

Available as managed deployment Embeddings software-mansion Embeddings 1 variants 639 dl/mo

react-native-executorch-all-mpnet is an open-weight embedding model from software-mansion. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bysoftware-mansion
TypeEmbedding models
TaskEmbeddings
Runs withexecutorch
Released2025-05-07
Popularity639 downloads / month
LicenceOpen weights

About

What react-native-executorch-all-mpnet is

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

Read the full model card

Variants

PathBackendPrecision
vulkan/all_mpnet_base_v2_vulkan_fp16.ptevulkanfp16
vulkan/all_mpnet_base_v2_vulkan_int8.ptevulkanint8
xnnpack/all_mpnet_base_v2_xnnpack_fp32.ptexnnpackfp32

Repository structure

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

Compatibility

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.

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys react-native-executorch-all-mpnet for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (react-native-executorch-all-mpnet below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"react-native-executorch-all-mpnet","input":"text to embed"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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