tomasmcm/mistral-trismegistus-7b:645e682e – Run with an API on Replicate

Version

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tomasmcm /mistral-trismegistus-7b:645e682e

Input

prompt

*string

Shift + Return to add a new line

USER: What is the philosopher’s stone, really?
ASSISTANT:
USER: What is the philosopher’s stone, really?
ASSISTANT:

Text prompt to send to the model.

max_new_tokens

integer

The maximum number of tokens the model should generate as output.

Default: 128

temperature

number

(minimum: 0.01, maximum: 5)

The value used to modulate the next token probabilities.

Default: 0.8

top_p

number

(minimum: 0.01, maximum: 1)

A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

Default: 0.95

top_k

integer

The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

Default: 50

presence_penalty

number

(minimum: 0.01, maximum: 5)

Presence penalty

Default: 1

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

npx create-replicate --model=tomasmcm/mistral-trismegistus-7b

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

const output = await replicate.run(
  "tomasmcm/mistral-trismegistus-7b:645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "USER: What is the philosopher’s stone, really?\nASSISTANT:\n",
      temperature: 0.8,
      max_new_tokens: 128,
      presence_penalty: 1
    }
  }
);
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 tomasmcm/mistral-trismegistus-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-trismegistus-7b:645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "USER: What is the philosopher’s stone, really?\nASSISTANT:\n",
        "temperature": 0.8,
        "max_new_tokens": 128,
        "presence_penalty": 1
    }
)
print(output)

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 tomasmcm/mistral-trismegistus-7b 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": "645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "USER: What is the philosopher’s stone, really?\\nASSISTANT:\\n",
      "temperature": 0.8,
      "max_new_tokens": 128,
      "presence_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/tomasmcm/mistral-trismegistus-7b@sha256:645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88 \
  -i 'top_k=50' \
  -i 'top_p=0.95' \
  -i $'prompt="USER: What is the philosopher’s stone, really?\\nASSISTANT:\\n"' \
  -i 'temperature=0.8' \
  -i 'max_new_tokens=128' \
  -i 'presence_penalty=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/tomasmcm/mistral-trismegistus-7b@sha256:645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "USER: What is the philosopher’s stone, really?\\nASSISTANT:\\n",
      "temperature": 0.8,
      "max_new_tokens": 128,
      "presence_penalty": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

The philosopher's stone, also known as the magnum opus or the great work, is a legendary substance that was purported to possess the power of turning base metals into gold and bestowing immortality on its possessor. It has been sought after by alchemists for centuries, and its discovery was thought to be the key to unlocking the secrets of the universe. To understand what the philosopher's stone really is, it's essential to delve into its history, benefits, and connection to alchemy. History: The concept of the philosopher's stone

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