import os
from cerebras.cloud.sdk import Cerebras
client = Cerebras(api_key=os.environ.get("CEREBRAS_API_KEY"),)
client.models.list()
client.models.retrieve("llama3.1-8b")
{
"object": "list",
"data": [
{
"id": "llama3.1-8b",
"object": "model",
"created": 1721692800,
"owned_by": "Meta"
},
{
"id": "llama-3.3-70b",
"object": "model",
"created": 1733443200,
"owned_by": "Meta"
}
]
}
import os
from cerebras.cloud.sdk import Cerebras
client = Cerebras(api_key=os.environ.get("CEREBRAS_API_KEY"),)
client.models.list()
client.models.retrieve("llama3.1-8b")
{
"object": "list",
"data": [
{
"id": "llama3.1-8b",
"object": "model",
"created": 1721692800,
"owned_by": "Meta"
},
{
"id": "llama-3.3-70b",
"object": "model",
"created": 1733443200,
"owned_by": "Meta"
}
]
}
GET https://api.cerebras.ai/v1/models
Lists all currently available models when called without the model_id parameter and provides essential details about each, including the owner and availability.
GET https://api.cerebras.ai/v1/models/{model_id}
Fetches a model instance, offering key details about the model, including its owner and permissions.
Accepts model IDs as arguments.
Available options:
llama3.1-8bllama-3.3-70bqwen-3-32bqwen-3-235b-a22b-instruct-2507 (preview)gpt-oss-120bzai-glm-4.6 (preview)import os
from cerebras.cloud.sdk import Cerebras
client = Cerebras(api_key=os.environ.get("CEREBRAS_API_KEY"),)
client.models.list()
client.models.retrieve("llama3.1-8b")
{
"object": "list",
"data": [
{
"id": "llama3.1-8b",
"object": "model",
"created": 1721692800,
"owned_by": "Meta"
},
{
"id": "llama-3.3-70b",
"object": "model",
"created": 1733443200,
"owned_by": "Meta"
}
]
}
Was this page helpful?