Model reference · open weights

bge-small-en

bge-small-en is an open-weight embedding model from michaelfeil, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Embeddings michaelfeil 1 variants 1.3M downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What bge-small-en is

This is the stable default model for infinity. More details about the infinity inference project please refer to the Github: Infinity. Usage for Embedding Model via infinity in Python To deploy files with the infinityemb pip package. Recommended is device="cuda", engine="torch" with flash attention on gpu, and device="cpu", engine="optimum" for onnx inference. CLI interface The same args Contact If you have any question or suggestion related to this project, feel free to open an issue or pull request. You also can email Michael Feil (infinity at michaelfeil.eu). Citation If you find this repository useful, please consider giving a star :star: and citation License Infinity is licensed under the MIT License.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makermichaelfeil
TypeEmbedding models
Parameters (lead)33M
Context512 tokens
Variants1
Runs withsentence-transformers
Released2024-03-12
Popularity1.3M downloads / month
Likes3
LicenceOpen weights

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.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
bge-small-en-v1.533MBF16~0.1 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys michaelfeil-bge-small-en for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (michaelfeil-bge-small-en 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":"michaelfeil-bge-small-en","input":"text to embed"}'

Details

Languages, data & research

Languages

en

Tags

sentence-transformers pytorch onnx safetensors bert feature-extraction sentence-similarity transformers en text-embeddings-inference endpoints_compatible deploy:azure

Licence

Open weights

Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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