Model reference · open weights
bm25 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
Repository with files to perform BM25 searches with FastEmbed. BM25 (Best Matching 25) is a ranking function used by search engines to estimate the relevance of documents to a given search query. Usage Note: This model is supposed to be used with Qdrant. Vectors have to be configured with Modifier.IDF. Here's an example of BM25 with FastEmbed.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Qdrant |
|---|---|
| Type | Embedding models |
| Variants | 1 |
| Runs with | transformers |
| Released | 2024-06-13 |
| Popularity | 1.1M downloads / month |
| Likes | 35 |
| 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 |
|---|---|---|---|---|---|
| bm25 | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys bm25 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (bm25 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":"bm25","input":"text to embed"}'
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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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