nousresearch
/
hermes-2-theta-llama-8b
Hermes-2 Θ (Theta) is the first experimental merged model released by Nous Research, in collaboration with Charles Goddard at Arcee, the team behind MergeKit.
- Public
- 1.7K runs
If you haven’t yet trained a model on Replicate, we recommend you read one of the following guides.
Pricing
Trainings for this model run on Nvidia A100 (40GB) GPU hardware, which costs $0.00115 per second.
Create a training
Install the Python library:
pip install replicate
Then, run this to create a training with replicate-internal/hermes-2-theta-l3-8b-fp16-triton:c08e085a as the base model:
import replicate
training = replicate.trainings.create(
version="replicate-internal/hermes-2-theta-l3-8b-fp16-triton:c08e085aa24433e159f167bda8de1a67432e66cdcc3a37fae1189367c3c4eb2a",
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/nousresearch/hermes-2-theta-llama-8b/versions/c08e085aa24433e159f167bda8de1a67432e66cdcc3a37fae1189367c3c4eb2a/trainings
The API response will look like this:
{
"id": "zz4ibbonubfz7carwiefibzgga",
"version": "c08e085aa24433e159f167bda8de1a67432e66cdcc3a37fae1189367c3c4eb2a",
"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.