tomasmcm/starling-lm-7b-alpha:1cee1365 – Run with an API on Replicate

Version

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tomasmcm /starling-lm-7b-alpha:1cee1365

Input

prompt

*string

Shift + Return to add a new line

GPT4 Correct User: Tell me about AI<|end_of_turn|>GPT4 Correct Assistant:GPT4 Correct User: Tell me about AI<|end_of_turn|>GPT4 Correct Assistant:

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/starling-lm-7b-alpha

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/starling-lm-7b-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/starling-lm-7b-alpha:1cee13652378fac04fe10dedd4c15d3024a0958c3e52f97a1aa7c4d05b99ef99",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "GPT4 Correct User: Tell me about AI<|end_of_turn|>GPT4 Correct Assistant:",
      max_tokens: 128,
      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/starling-lm-7b-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/starling-lm-7b-alpha:1cee13652378fac04fe10dedd4c15d3024a0958c3e52f97a1aa7c4d05b99ef99",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "GPT4 Correct User: Tell me about AI<|end_of_turn|>GPT4 Correct Assistant:",
        "max_tokens": 128,
        "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/starling-lm-7b-alpha 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": "tomasmcm/starling-lm-7b-alpha:1cee13652378fac04fe10dedd4c15d3024a0958c3e52f97a1aa7c4d05b99ef99",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "GPT4 Correct User: Tell me about AI<|end_of_turn|>GPT4 Correct Assistant:",
      "max_tokens": 128,
      "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

Artificial Intelligence (AI) refers to the development of computer systems or software that are capable of performing tasks that would typically require human intelligence. These tasks can include learning, problem-solving, reasoning, understanding natural language, perception, and decision-making. AI is a rapidly growing field that encompasses various sub-disciplines, including machine learning, deep learning, and neural networks. Machine learning is a subset of AI that focuses on the development of algorithms and models that enable computers to learn from data without being explicitly programmed. It involves the use of statistical techniques to identify patterns in data and make predictions or decisions

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