Model reference · open weights
paraphrase-albert-small is an open-weight embedding model from GPTCache, 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 | GPTCache |
|---|---|
| Type | Embedding models |
| Context | 512 tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2023-05-09 |
| Popularity | 306k downloads / month |
| Likes | 2 |
| 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 |
|---|---|---|---|---|---|
| paraphrase-albert-small-v2 | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys gptcache-paraphrase-albert-small for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (gptcache-paraphrase-albert-small 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":"gptcache-paraphrase-albert-small","input":"text to embed"}'
Details
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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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