antoinelyset/openhermes-2-mistral-7b-awq:f48e0a29

Version

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antoinelyset /openhermes-2-mistral-7b-awq:f48e0a29

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=antoinelyset/openhermes-2-mistral-7b-awq

or set up a project from scratch

Install Replicate’s Node.js client library:

npm 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 and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run antoinelyset/openhermes-2-mistral-7b-awq using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "antoinelyset/openhermes-2-mistral-7b-awq:f48e0a295349761472cd9bf25f6e1ad6249e41dc702a928e149097cc8eca18c9",
  {
    input: {
      top_k: 50,
      top_p: 0.9,
      temperature: 0.75,
      max_new_tokens: 512,
      use_beam_search: false
    }
  }
);

console.log(output);

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

Install Replicate’s Python client library:

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 antoinelyset/openhermes-2-mistral-7b-awq using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "antoinelyset/openhermes-2-mistral-7b-awq:f48e0a295349761472cd9bf25f6e1ad6249e41dc702a928e149097cc8eca18c9",
    input={
        "top_k": 50,
        "top_p": 0.9,
        "temperature": 0.75,
        "max_new_tokens": 512,
        "use_beam_search": False
    }
)

# The antoinelyset/openhermes-2-mistral-7b-awq 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/antoinelyset/openhermes-2-mistral-7b-awq/api#output-schema
    print(item, end="")

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run antoinelyset/openhermes-2-mistral-7b-awq using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "antoinelyset/openhermes-2-mistral-7b-awq:f48e0a295349761472cd9bf25f6e1ad6249e41dc702a928e149097cc8eca18c9",
    "input": {
      "top_k": 50,
      "top_p": 0.9,
      "temperature": 0.75,
      "max_new_tokens": 512,
      "use_beam_search": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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