The Model Catalog lists every model EZGH Cloud serves, in any product, with its versions and properties. It’s the same for everyone, and reading it needs no credential or permission.
Catalog
| Model ID | Name | Task | Offered by | Latest version | License |
|---|---|---|---|---|---|
qwen3-embedding-0.6b |
Qwen3 Embedding 0.6B | Embeddings | Inference | 1.0.0 |
Apache-2.0 |
unlimited-ocr |
Baidu Unlimited-OCR | OCR | OCR | 1.0.0 |
MIT |
Offered by is where you can use a model. Models offered by Inference are called through the
OpenAI-compatible API (Embeddings with OpenAI SDKs). Models offered by OCR
are used through OCR processors; the Inference API answers 404 model_not_found
for them.
qwen3-embedding-0.6b
Qwen3-Embedding-0.6B by Qwen: multilingual text embeddings.
| Property | Value |
|---|---|
| Dimensions (default and maximum) | 1,024 |
| Minimum dimensions | 32 |
| Tokens per input | 8,192 |
| Inputs per request | 128 |
| Request size | 1 MiB |
| Instruction-aware | Yes |
| Multilingual | Yes |
| Version | Status | Released | Source |
|---|---|---|---|
1.0.0 |
ga |
2026-10-10 | Qwen/Qwen3-Embedding-0.6B at 97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3 |
Model references
A request names a model by its ID or a pinned version:
| Reference | Means |
|---|---|
qwen3-embedding-0.6b |
The model’s latest version, which can change when a new version is released |
qwen3-embedding-0.6b:1.0.0 |
Exactly that version |
IDs are lowercase and matched exactly. Every response names the version that ran, as
<id>:<version>. Pin a version when stored vectors must stay comparable with new ones.
Versions and lifecycle
| Status | Served | Notes |
|---|---|---|
preview |
Yes | |
ga |
Yes | |
deprecated |
Yes | Responses carry a Deprecation header, and a Sunset header with the retirement date once one is set |
retired |
No | 410 model_retired. A retired version stays in the catalog |
Reading the catalog
In the console, open Inference, then Models. With the CLI:
ezgh inference models list
ezgh inference models get qwen3-embedding-0.6bOr read it from the API, with no credential:
curl https://inference-api.ezghcloud.com/public/v1/models
curl https://inference-api.ezghcloud.com/public/v1/models/qwen3-embedding-0.6bThe list is { "models": [...], "nextCursor": null }, paged with limit (1 to 100, default 100)
and cursor (the previous page’s nextCursor). Each model has id, displayName,
description, publisher, license, task, modalities, offeredBy, latestVersion,
versions (each with version, status, releasedAt, deprecatedAt, retiresAt and
source) and properties. Reads are limited per client address; over the limit is 429 with
Retry-After.
The OpenAI SDKs’ models.list() and models.retrieve() work too, on the project’s base URL
(list models, inference.models.list): they list the models
offered by Inference, with owned_by set to the publisher.