Model reference · open weights
bge-small-en-onnx-Q is an open-weight embedding model from Qdrant, 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.
About
Quantized ONNX port of BAAI/bge-small-en-v1.5 for text classification and similarity searches. Usage Here's an example of performing inference using the model with FastEmbed.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Qdrant |
|---|---|
| Type | Embedding models |
| Context | 512 tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2024-01-15 |
| Popularity | 970k downloads / month |
| Likes | 2 |
| Licence | Open weights |
How it works
Variants
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.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| bge-small-en-v1.5-onnx-Q | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys bge-small-en-onnx-q for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (bge-small-en-onnx-q 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":"bge-small-en-onnx-q","input":"text to embed"}'
Details
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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