zeke / zistral

An experimental copy of the Mistral LLM

  • Public
  • 3 runs
  • L40S
Iterate in playground

Input

pip install replicate
Set the REPLICATE_API_TOKEN environment variable:
export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:
import replicate

Run zeke/zistral using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zeke/zistral:557744d221767a6cffc91909394f8cf878b0af00094a8846dd48bfe7931f4463",
    input={
        "top_k": 50,
        "top_p": 1,
        "temperature": 1,
        "max_new_tokens": 256
    }
)

# The zeke/zistral model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/zeke/zistral/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.