technillogue/good-staging-llama-2-13b-chat
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 Nvidia L40S GPU hardware, which costs $0.000975 per second.
Create a training
Install the Python library:
pip install replicateThen, run this to create a training with technillogue/good-staging-llama-2-13b-chat:ae982ff3 as the base model:
import replicate
training = replicate.trainings.create(
version="technillogue/good-staging-llama-2-13b-chat:ae982ff3482472af829aa9b9316fdc383caa927fd2f5f43d9d3bdf5fd42687a4",
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/technillogue/good-staging-llama-2-13b-chat/versions/ae982ff3482472af829aa9b9316fdc383caa927fd2f5f43d9d3bdf5fd42687a4/trainingsThe API response will look like this:
{
"id": "zz4ibbonubfz7carwiefibzgga",
"version": "ae982ff3482472af829aa9b9316fdc383caa927fd2f5f43d9d3bdf5fd42687a4",
"status": "starting",
"input": {
"data": "..."
},
"output": null,
"error": null,
"logs": null,
"started_at": null,
"created_at": "2023-03-28T21:47:58.566434Z",
"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.