models: document greenpt/qwen3-embedding-8b — the member-facing embeddings API

New gateway model (code/litellm 54925ca): /v1/embeddings, GreenPT-hosted,
4096-dim (measured through the gateway), $0.25/1M input from GreenPT's own
pricing, 32K input cap (provider catalog). Not a chat model — API-only like
the audio models, hidden from the chat picker. Also states plainly that
Tinfoil's nomic-embed-text is the operator-only docs-RAG embedding, since a
member read its absence from the model list as removal.
This commit is contained in:
inference-bot committed 2026-11-06 20:35:04 +00:00
1 parent 2a89e6a19d
commit fa4ba8d989
1 file changed
+30
+30
View File
@@ -54,6 +54,9 @@ that **you choose** which axis matters more for a given task.
- **Cheap and cheerful** → `tinfoil/gpt-oss-120b` or `greenpt/glm-5.3-flash`.
- **Model origins matter to you** → the Apertus models (publicly developed;
see below).
- **Semantic search / RAG (API)** → `greenpt/qwen3-embedding-8b` — the
embedding model, on renewable energy (API-only; see [Embedding
models](#embedding-models) below).
## Current models
@@ -146,6 +149,33 @@ curl https://gateway.inference.coop/v1/chat/completions \
]}]}'
```
### Embedding models
Embeddings turn text into a numeric vector — the input to semantic search,
clustering and RAG. They're called on `/v1/embeddings` with your co-op API key
and are **not chat models**: they never appear in the chat picker, the API is
the interface (the same shape as the audio models above).
| Model | Provider | Privacy | Green | Dimensions | Max input | Pricing |
|---|---|---|---|---|---|---|
| `🌱 greenpt/qwen3-embedding-8b` | GreenPT | policy | ✅ 100% renewable | 4096 (measured) | 32K tokens (per GreenPT's catalog) | $0.25 / 1M input tokens (no output charge) |
```bash
curl https://gateway.inference.coop/v1/embeddings \
-H "Authorization: Bearer ***" \
-H "Content-Type: application/json" \
-d '{"model": "greenpt/qwen3-embedding-8b", "input": "the text to embed"}'
```
The response is standard OpenAI shape: `data[0].embedding` holds the vector,
and `usage.prompt_tokens` is what meters against your allowance at the rate
above. Embeddings bill input tokens only — there is no output charge.
For completeness: Tinfoil also serves a private embedding model
(`nomic-embed-text`), but it is **operator-only** — the co-op runs its own docs
search on it inside the TEE, and member keys cannot call it.
`greenpt/qwen3-embedding-8b` above is the member-facing embedding model.
### Image generation
`🌱 regolo/qwen-image` (Regolo, EU-hosted, zero data retention) generates