meta/codellama-13b-python:09b87c02 | Run with an API on Replicate

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meta /codellama-13b-python:09b87c02

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt to send to Codellama

max_new_tokens

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 500

min_new_tokens

integer

(minimum: -1)

Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.

Default: -1

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.95

top_p

number

(minimum: 0, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 0.95

top_k

integer

(minimum: 0)

When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens

Default: 250

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1.15

repetition_penalty_sustain

integer

(minimum: -1)

Number of most recent tokens to apply repetition penalty to, -1 to apply to whole context

Default: 256

token_repetition_penalty_decay

integer

(minimum: 1)

Gradually decrease penalty over this many tokens

Default: 128

debug

boolean

provide debugging output in logs

Default: false

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

npx create-replicate --model=meta/codellama-13b-python

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 meta/codellama-13b-python using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "meta/codellama-13b-python:09b87c02dfa403e0c3289166dece62286b3bce49bae39a9c9204713cf94b8b7d",
  {
    input: {
      debug: false,
      top_k: 250,
      top_p: 0.95,
      prompt: "# function that adds 2 number inputs.",
      temperature: 0.95,
      max_new_tokens: 50,
      min_new_tokens: -1,
      repetition_penalty: 1.15,
      repetition_penalty_sustain: 256,
      token_repetition_penalty_decay: 128
    }
  }
);

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 meta/codellama-13b-python using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "meta/codellama-13b-python:09b87c02dfa403e0c3289166dece62286b3bce49bae39a9c9204713cf94b8b7d",
    input={
        "debug": False,
        "top_k": 250,
        "top_p": 0.95,
        "prompt": "# function that adds 2 number inputs.",
        "temperature": 0.95,
        "max_new_tokens": 50,
        "min_new_tokens": -1,
        "repetition_penalty": 1.15,
        "repetition_penalty_sustain": 256,
        "token_repetition_penalty_decay": 128
    }
)

# The meta/codellama-13b-python 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/meta/codellama-13b-python/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 meta/codellama-13b-python 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": "meta/codellama-13b-python:09b87c02dfa403e0c3289166dece62286b3bce49bae39a9c9204713cf94b8b7d",
    "input": {
      "debug": false,
      "top_k": 250,
      "top_p": 0.95,
      "prompt": "# function that adds 2 number inputs.",
      "temperature": 0.95,
      "max_new_tokens": 50,
      "min_new_tokens": -1,
      "repetition_penalty": 1.15,
      "repetition_penalty_sustain": 256,
      "token_repetition_penalty_decay": 128
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

def add(self, input1: int, input2: int) -> float: return (input1 + input2 ) if __name__ == "__main__": print ("enter two values ")

Generated in

2.5 seconds

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