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GET
/
cloud
/
v3
/
inference
/
models
List models from catalog
curl --request GET \
  --url https://api.gcore.com/cloud/v3/inference/models \
  --header 'Authorization: <api-key>'
{
  "count": 1,
  "results": [
    {
      "category": "Text Classification",
      "default_flavor_name": "inference-16vcpu-232gib-1xh100-80gb",
      "description": "<string>",
      "developer": "Stability AI",
      "documentation_page": "/docs",
      "eula_url": "https://example.com/eula",
      "example_curl_request": "curl -X POST http://localhost:8080/predict -d '{\"data\": \"sample\"}'",
      "has_eula": true,
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "image_registry_id": "123e4567-e89b-12d3-a456-426614174999",
      "image_url": "<string>",
      "inference_backend": "torch",
      "inference_frontend": "gradio",
      "model_id": "mistralai/Pixtral-12B-2409",
      "name": "<string>",
      "openai_compatibility": "full",
      "port": 123,
      "version": "v0.1"
    }
  ]
}

Authorizations

​
Authorization
string
header
required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Query Parameters

​
limit
integer
default:1000

Optional. Limit the number of returned items

Required range: x <= 1000
​
offset
integer
default:0

Optional. Offset value is used to exclude the first set of records from the result

Required range: x >= 0
​
order_by
enum<string>
default:name.asc

Order instances by transmitted fields and directions

Available options:
name.asc,
name.desc

Response

200 - application/json

OK

​
count
integer
required

Number of objects

Required range: x >= 0
​
results
MLCatalogModelCardSerializerV3 · object[]
required

Objects