technillogue/mistral-instruct-webrtc-triton | Run with an API on Replicate

Input

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

npx create-replicate --model=technillogue/mistral-instruct-webrtc-triton

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 technillogue/mistral-instruct-webrtc-triton using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "technillogue/mistral-instruct-webrtc-triton:69d3e23a7548431723ac296c3a1d18ae8d1d7406322d2232e5e5e9c91f6a5cc6",
  {
    input: {
      top_k: 0,
      top_p: 0,
      temperature: 1,
      system_prompt: "You are a very helpful, respectful and honest assistant.",
      length_penalty: 1,
      max_new_tokens: 250,
      prompt_template: "<s>[INST] {system_prompt} {prompt} [/INST]",
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);

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 technillogue/mistral-instruct-webrtc-triton using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "technillogue/mistral-instruct-webrtc-triton:69d3e23a7548431723ac296c3a1d18ae8d1d7406322d2232e5e5e9c91f6a5cc6",
    input={
        "top_k": 0,
        "top_p": 0,
        "temperature": 1,
        "system_prompt": "You are a very helpful, respectful and honest assistant.",
        "length_penalty": 1,
        "max_new_tokens": 250,
        "prompt_template": "<s>[INST] {system_prompt} {prompt} [/INST]",
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The technillogue/mistral-instruct-webrtc-triton 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/technillogue/mistral-instruct-webrtc-triton/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 technillogue/mistral-instruct-webrtc-triton 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": "technillogue/mistral-instruct-webrtc-triton:69d3e23a7548431723ac296c3a1d18ae8d1d7406322d2232e5e5e9c91f6a5cc6",
    "input": {
      "top_k": 0,
      "top_p": 0,
      "temperature": 1,
      "system_prompt": "You are a very helpful, respectful and honest assistant.",
      "length_penalty": 1,
      "max_new_tokens": 250,
      "prompt_template": "<s>[INST] {system_prompt} {prompt} [/INST]",
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  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.

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.

Readme

This model doesn't have a readme.