Model reference · open weights
Solon-embeddings-0.1 is an open-weight embedding model from OrdalieTech. 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 by | OrdalieTech |
|---|---|
| Type | Embedding models |
| Task | Embeddings |
| Parameters (lead) | 278M |
| Context | 514 tokens |
| Runs with | transformers |
| Released | 2023-11-21 |
| Popularity | 76k downloads / month |
| Licence | Open weights |
About
SOTA Open source french embedding model.
Instructions : Add "query : " before the query to retrieve to increase performance of retrieval. No instructions needed for passages.
| Model | Mean Score |
|---|---|
| OrdalieTech/Solon-embeddings-large-0.1 | 0.7490 |
| cohere/embed-multilingual-v3 | 0.7402 |
| OrdalieTech/Solon-embeddings-base-0.1 | 0.7306 |
| openai/ada-002 | 0.7290 |
| cohere/embed-multilingual-light-v3 | 0.6945 |
| antoinelouis/biencoder-camembert-base-mmarcoFR | 0.6826 |
| dangvantuan/sentence-camembert-large | 0.6756 |
| voyage/voyage-01 | 0.6753 |
| intfloat/multilingual-e5-large | 0.6660 |
| intfloat/multilingual-e5-base | 0.6597 |
| Sbert/paraphrase-multilingual-mpnet-base-v2 | 0.5975 |
| dangvantuan/sentence-camembert-base | 0.5456 |
| EuropeanParliament/eubert_embedding_v1 | 0.5063 |
These results have been obtained through 9 french benchmarks on a variety of text similarity tasks (classification, reranking, STS) :
We created OrdalieFRSTS and OrdalieFRReranking to enhance the benchmarking capabilities of French STS and reranking assessments.
(evaluation script available here : github.com/OrdalieTech/mteb)
From the published model card. Full card on the HuggingFace links in the sidebar.
Benchmarks
As published on the model card — the maker's own numbers, not measured by AxForge.
| Task | Dataset | Metric | Score |
|---|---|---|---|
| Passage Retrieval | mMARCO-fr | Recall@500 | 90.900 |
| Passage Retrieval | mMARCO-fr | Recall@100 | 80.600 |
| Passage Retrieval | mMARCO-fr | Recall@10 | 52.500 |
| Passage Retrieval | mMARCO-fr | MAP@10 | 27.400 |
| Passage Retrieval | mMARCO-fr | nDCG@10 | 33.500 |
| Passage Retrieval | mMARCO-fr | MRR@10 | 27.900 |
Using it via the API
Once AxForge deploys solon-embeddings-0-1 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (solon-embeddings-0-1 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":"solon-embeddings-0-1","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.