shashwatgokhe/deepcoder-14b:bf5e05fb | Run with an API on Replicate

Version

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shashwatgokhe /deepcoder-14b:bf5e05fb

Playground API

Input

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

npx create-replicate --model=shashwatgokhe/deepcoder-14b

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 shashwatgokhe/deepcoder-14b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "shashwatgokhe/deepcoder-14b:bf5e05fbd954e635da9dd4a08b199d73d4ba279b653e8363b0961876c96a9a37",
  {
    input: {
      top_p: 0.95,
      stream: false,
      temperature: 0.6,
      max_new_tokens: 4096,
      repetition_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 shashwatgokhe/deepcoder-14b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "shashwatgokhe/deepcoder-14b:bf5e05fbd954e635da9dd4a08b199d73d4ba279b653e8363b0961876c96a9a37",
    input={
        "top_p": 0.95,
        "stream": False,
        "temperature": 0.6,
        "max_new_tokens": 4096,
        "repetition_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 shashwatgokhe/deepcoder-14b 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": "shashwatgokhe/deepcoder-14b:bf5e05fbd954e635da9dd4a08b199d73d4ba279b653e8363b0961876c96a9a37",
    "input": {
      "top_p": 0.95,
      "stream": false,
      "temperature": 0.6,
      "max_new_tokens": 4096,
      "repetition_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/shashwatgokhe/deepcoder-14b@sha256:bf5e05fbd954e635da9dd4a08b199d73d4ba279b653e8363b0961876c96a9a37 \
  -i 'top_p=0.95' \
  -i 'stream=false' \
  -i 'temperature=0.6' \
  -i 'max_new_tokens=4096' \
  -i 'repetition_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/shashwatgokhe/deepcoder-14b@sha256:bf5e05fbd954e635da9dd4a08b199d73d4ba279b653e8363b0961876c96a9a37
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_p": 0.95,
      "stream": false,
      "temperature": 0.6,
      "max_new_tokens": 4096,
      "repetition_penalty": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.