Model reference · open weights
UNI2-h is an open-weight embedding model from MahmoodLab, 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.
Specifications
| Maker | MahmoodLab |
|---|---|
| Type | Embedding models |
| Variants | 1 |
| Runs with | timm |
| Released | 2025-01-10 |
| Popularity | 73k downloads / month |
| Likes | 170 |
| 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 |
|---|---|---|---|---|---|
| UNI2-h | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys uni2-h for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (uni2-h 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":"uni2-h","input":"text to embed"}'
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Licence
The weights are open but cc-by-nc-nd-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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