Model reference · open weights
embeddinggemma is an open-weight embedding model from google, 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 | |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 303M |
| Variants | 1 |
| Runs with | sentence-transformers |
| Released | 2025-07-17 |
| Popularity | 2.5M downloads / month |
| Likes | 1,867 |
| Licence | Open, with conditions |
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 |
|---|---|---|---|---|---|
| embeddinggemma-300m | 303M | BF16 | ~0.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys embeddinggemma for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (embeddinggemma 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":"embeddinggemma","input":"text to embed"}'
Licence
Open weights under gemma, which carries conditions (e.g. attribution or an acceptable-use clause). Worth a read before production use — we can walk you through it. Read the licence ↗
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