replicate/gpt-j-6b
A large language model by EleutherAI
If you haven’t yet trained a model on Replicate, you can read one of the following guides.
Pricing
Trainings for this model run on 4x Nvidia A100 (80GB) GPU hardware, which costs 0ドル.0056 per second.
Create a training
Install the Python library:
pip install replicate
Then, run this to create a training with replicate/gpt-j-6b:b3546aee as the base model:
import replicate
training = replicate.trainings.create(
version="replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
input={
...
},
destination=f"{username}/<destination-model-name>"
)
print(training)
curl -s -X POST \
-d '{"destination": "{username}/<destination-model-name>", "input": {...}}' \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
https://api.replicate.com/v1/models/replicate/gpt-j-6b/versions/b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827/trainings
The API response will look like this:
{
"id": "zz4ibbonubfz7carwiefibzgga",
"version": "b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
"status": "starting",
"input": {
"data": "..."
},
"output": null,
"error": null,
"logs": null,
"started_at": null,
"created_at": "2023年03月28日T21:47:58.566434Z",
"completed_at": null
}
Note that before you can create a training, you’ll need to create a model and use its name as the value for the destination field.