Model reference · open weights
Solon-embeddings-large-0.1 is an open-weight embedding model from OrdalieTech, 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
Solon Embeddings — large 0.1 SOTA Open source french embedding model. Instructions : Add "query : " before the query to retrieve to increase performance of retrieval. No instructions needed for passages. These results have been obtained through 9 french benchmarks on a variety of text similarity tasks (classification, reranking, STS) : - AmazonReviewsClassification (MTEB) - MassiveIntentClassification (MTEB) - MassiveScenarioClassification (MTEB) - MTOPDomainClassification (MTEB) - MTOPIntentClassification (MTEB) - STS22 (MTEB) - MiraclFRRerank (Miracl) - OrdalieFRSTS (Ordalie) - OrdalieFRReranking (Ordalie) We created OrdalieFRSTS and OrdalieFRReranking to enhance the benchmarking capabilities of French STS and reranking assessments. (evaluation script available here : github.com/OrdalieTech/mteb)
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | OrdalieTech |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 560M |
| Context | 514 tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2023-12-09 |
| Popularity | 292k downloads / month |
| Likes | 53 |
| 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 |
|---|---|---|---|---|---|
| Solon-embeddings-large-0.1 | 560M | BF16 | ~1.3 GB | ✓ | Weights ↗ |
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 | 92.7 |
| Passage Retrieval | mMARCO-fr | Recall@100 | 82.7 |
| Passage Retrieval | mMARCO-fr | Recall@10 | 55.5 |
| Passage Retrieval | mMARCO-fr | MAP@10 | 29.4 |
| Passage Retrieval | mMARCO-fr | nDCG@10 | 35.8 |
| Passage Retrieval | mMARCO-fr | MRR@10 | 29.9 |
| Clustering | MTEB AlloProfClusteringP2P | v_measure | 64.169 |
| Clustering | MTEB AlloProfClusteringS2S | v_measure | 38.171 |
| Reranking | MTEB AlloprofReranking | map | 64.877 |
| Reranking | MTEB AlloprofReranking | mrr | 66.391 |
| Retrieval | MTEB AlloprofRetrieval | map_at_1 | 29.62 |
| Retrieval | MTEB AlloprofRetrieval | map_at_10 | 40.963 |
| Retrieval | MTEB AlloprofRetrieval | map_at_100 | 41.894 |
| Retrieval | MTEB AlloprofRetrieval | map_at_1000 | 41.939 |
| Retrieval | MTEB AlloprofRetrieval | map_at_3 | 37.709 |
| Retrieval | MTEB AlloprofRetrieval | map_at_5 | 39.697 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_1 | 29.62 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_10 | 40.963 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_100 | 41.894 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_1000 | 41.939 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_3 | 37.709 |
| Retrieval | MTEB AlloprofRetrieval | mrr_at_5 | 39.697 |
| Retrieval | MTEB AlloprofRetrieval | ndcg_at_1 | 29.62 |
| Retrieval | MTEB AlloprofRetrieval | ndcg_at_10 | 46.942 |
Using it via the API
Once AxForge deploys solon-embeddings-large-0-1 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (solon-embeddings-large-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-large-0-1","input":"text to embed"}'
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Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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