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GET
/
management
/
v1
/
orgs
/
{org_name}
/
models
/
{model_arch_id}
/
versions
/
{version_id}
Retrieve model version status
curl --request GET \
  --url https://api.cerebras.ai/management/v1/orgs/{org_name}/models/{model_arch_id}/versions/{version_id} \
  --header 'Authorization: Bearer <token>'
{
  "name": "orgs/my-org/models/gpt-oss-120b/versions/1",
  "done": true,
  "response": {
    "customer_s3_uri": "s3://my-bucket/model-weights",
    "version_aliases": [
      "production",
      "v1-stable"
    ],
    "sync_status": "done",
    "system_fingerprint_suffix": "my-custom-suffix"
  }
}

Documentation Index

Fetch the complete documentation index at: https://inference-docs.cerebras.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Retrieve the status and details of a specific model version, including upload status.

Authorizations

​
Authorization
string
header
required

Management API key generated from the Management API keys section on the API keys page at https://cloud.cerebras.ai. Use the format: Bearer <MANAGEMENT_API_KEY>

Path Parameters

​
org_name
string
required

Cerebras customer management organization name found under Management API keys on the API keys page at https://cloud.cerebras.ai.

Note: This is not to be confused with org_id.

​
model_arch_id
string
required

Name of the model architecture (e.g. llama3.1-8b, gpt-oss-120b).

​
version_id
string
required

Autoincrementing integer or user-defined alias to identify model version.

Response

200 - application/json

Successful Response

​
name
string
required

Model Version ID in the format of orgs/<org_name>/models/<model_arch_id>/versions/<version_id>.

​
done
boolean
required

Whether the operation is complete.

​
response
ModelVersionStatus · object

Response data with model version status information.