tomasmcm/llama-3-8b-instruct-gradient-4194k:18b7a95a

Version

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tomasmcm /llama-3-8b-instruct-gradient-4194k:18b7a95a

Input

prompt

*string

Shift + Return to add a new line

<|start_header_id|>system<|end_header_id|>
You are a helpful assistant. Perform the task to the best of your ability.<|eot_id|>
<|start_header_id|>user<|end_header_id|>
You're standing on the surface of the Earth. You walk one mile south, one mile west and one mile north. You end up exactly where you started. Where are you?<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
<|start_header_id|>system<|end_header_id|>
You are a helpful assistant. Perform the task to the best of your ability.<|eot_id|>
<|start_header_id|>user<|end_header_id|>
You're standing on the surface of the Earth. You walk one mile south, one mile west and one mile north. You end up exactly where you started. Where are you?<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>

Text prompt to send to the model.

max_tokens

integer

Maximum number of tokens to generate per output sequence.

Default: 128

presence_penalty

number

(minimum: -5, maximum: 5)

Float that penalizes new tokens based on whether they appear in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.

Default: 0

frequency_penalty

number

(minimum: -5, maximum: 5)

Float that penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.

Default: 0

temperature

number

(minimum: 0.01, maximum: 5)

Float that controls the randomness of the sampling. Lower values make the model more deterministic, while higher values make the model more random. Zero means greedy sampling.

Default: 0.8

top_p

number

(minimum: 0.01, maximum: 1)

Float that controls the cumulative probability of the top tokens to consider. Must be in (0, 1]. Set to 1 to consider all tokens.

Default: 0.95

top_k

integer

Integer that controls the number of top tokens to consider. Set to -1 to consider all tokens.

Default: -1

stop

string

Shift + Return to add a new line

List of strings that stop the generation when they are generated. The returned output will not contain the stop strings.

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

npx create-replicate --model=tomasmcm/llama-3-8b-instruct-gradient-4194k

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/llama-3-8b-instruct-gradient-4194k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/llama-3-8b-instruct-gradient-4194k:18b7a95a92c796e31fb118bcf70557f91dd4cf72c466cdc04ddce394331b09ac",
  {
    input: {
      stop: "</s>",
      top_k: -1,
      top_p: 0.95,
      prompt: "<|start_header_id|>system<|end_header_id|>\nYou are a helpful assistant. Perform the task to the best of your ability.<|eot_id|>\n<|start_header_id|>user<|end_header_id|>\nYou're standing on the surface of the Earth. You walk one mile south, one mile west and one mile north. You end up exactly where you started. Where are you?<|eot_id|>\n<|start_header_id|>assistant<|end_header_id|>\n",
      max_tokens: 1024,
      temperature: 0.8,
      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 tomasmcm/llama-3-8b-instruct-gradient-4194k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/llama-3-8b-instruct-gradient-4194k:18b7a95a92c796e31fb118bcf70557f91dd4cf72c466cdc04ddce394331b09ac",
    input={
        "stop": "</s>",
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<|start_header_id|>system<|end_header_id|>\nYou are a helpful assistant. Perform the task to the best of your ability.<|eot_id|>\n<|start_header_id|>user<|end_header_id|>\nYou're standing on the surface of the Earth. You walk one mile south, one mile west and one mile north. You end up exactly where you started. Where are you?<|eot_id|>\n<|start_header_id|>assistant<|end_header_id|>\n",
        "max_tokens": 1024,
        "temperature": 0.8,
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)
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/llama-3-8b-instruct-gradient-4194k 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": "18b7a95a92c796e31fb118bcf70557f91dd4cf72c466cdc04ddce394331b09ac",
    "input": {
      "stop": "</s>",
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<|start_header_id|>system<|end_header_id|>\\nYou are a helpful assistant. Perform the task to the best of your ability.<|eot_id|>\\n<|start_header_id|>user<|end_header_id|>\\nYou\'re standing on the surface of the Earth. You walk one mile south, one mile west and one mile north. You end up exactly where you started. Where are you?<|eot_id|>\\n<|start_header_id|>assistant<|end_header_id|>\\n",
      "max_tokens": 1024,
      "temperature": 0.8,
      "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

I would be back where I started!

Generated in

0.1 seconds

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