Model reference · open weights
splade-cocondenser-ensembledistil is an open-weight embedding model from naver, 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
SPLADE CoCondenser EnsembleDistil SPLADE model for passage retrieval. For additional details, please visit: paper: https://arxiv.org/abs/2205.04733 code: https://github.com/naver/splade Model Details This is a SPLADE Sparse Encoder model. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and sparse retrieval. Model Description - Model Type: SPLADE Sparse Encoder - Base model: Luyu/co-condenser-marco - Maximum Sequence Length: 512 tokens (256 for evaluation reproduction) - Output Dimensionality: 30522 dimensions - Similarity Function: Dot Product Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library: Then you can load this model and run inference. Citation If you use our checkpoint, please cite our work:
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | naver |
|---|---|
| Type | Embedding models |
| Context | 512 tokens |
| Variants | 1 |
| Runs with | sentence-transformers |
| Released | 2022-05-09 |
| Popularity | 459k downloads / month |
| Likes | 64 |
| Licence | Commercial licence needed |
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 |
|---|---|---|---|---|---|
| splade-cocondenser-ensembledistil | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys splade-cocondenser-ensembledistil for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (splade-cocondenser-ensembledistil 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":"splade-cocondenser-ensembledistil","input":"text to embed"}'
Licence
The weights are open but cc-by-nc-sa-4.0 needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗
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