lucataco / wizardcoder-python-34b-v1.0

Empowering Code Large Language Models with Evol-Instruct

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Prediction

lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74

Model

lucataco/wizardcoder-python-34b-v1.0:c4798dba

copvaldbezl647dskdy6ksig5m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

19.4s

Created

over 1 year ago by @lucataco

Input

top_p: 0.95
prompt: write python code for a simple calculator
temperature: 0.7
system_prompt: Below is an instruction that describes a task. Write a response that appropriately completes the request.
max_new_tokens: 512
repetition_penalty: 1.15

{
  "top_p": 0.95,
  "prompt": "write python code for a simple calculator",
  "temperature": 0.7,
  "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
  "max_new_tokens": 512,
  "repetition_penalty": 1.15
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/wizardcoder-python-34b-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
  {
    input: {
      top_p: 0.95,
      prompt: "write python code for a simple calculator",
      temperature: 0.7,
      system_prompt: "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      max_new_tokens: 512,
      repetition_penalty: 1.15
    }
  }
);

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

Import the client:

import replicate

Run lucataco/wizardcoder-python-34b-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
    input={
        "top_p": 0.95,
        "prompt": "write python code for a simple calculator",
        "temperature": 0.7,
        "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
        "max_new_tokens": 512,
        "repetition_penalty": 1.15
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/wizardcoder-python-34b-v1.0 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": "c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
    "input": {
      "top_p": 0.95,
      "prompt": "write python code for a simple calculator",
      "temperature": 0.7,
      "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      "max_new_tokens": 512,
      "repetition_penalty": 1.15
    }
  }' \
  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/lucataco/wizardcoder-python-34b-v1.0@sha256:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74 \
  -i 'top_p=0.95' \
  -i 'prompt="write python code for a simple calculator"' \
  -i 'temperature=0.7' \
  -i 'system_prompt="Below is an instruction that describes a task. Write a response that appropriately completes the request."' \
  -i 'max_new_tokens=512' \
  -i 'repetition_penalty=1.15'

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/lucataco/wizardcoder-python-34b-v1.0@sha256:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_p": 0.95,
      "prompt": "write python code for a simple calculator",
      "temperature": 0.7,
      "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      "max_new_tokens": 512,
      "repetition_penalty": 1.15
    }
  }' \
  http://localhost:5000/predictions

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

Output

Here's a basic Python code for a simple calculator with addition, subtraction, multiplication and division operations: ```python num1 = float(input("Enter first number: ")) num2 = float(input("Enter second number: ")) print("Select operation") print("1. Addition") print("2. Subtraction") print("3. Multiplication") print("4. Division") choice = input("Enter choice (1/2/3/4): ") if choice == '1': print("Result: ", num1 + num2) elif choice == '2': print("Result: ", num1 - num2) elif choice == '3': print("Result: ", num1 * num2) elif choice == '4': if num2 != 0: print("Result: ", num1 / num2) else: print("Invalid input!") ``` In this program, we take two numbers as inputs from the user using `float()` function to convert them into floating point numbers. Then, we display a menu of available operations and ask the user to choose one. Based on the user's choice, we perform the corresponding arithmetic operation using conditional statements (`if`, `elif` and `else`). If the user chooses division, we also check whether the second number is not zero to avoid division by zero error. Finally, we display the result of the selected operation using `print()` statement. </s>

{
  "completed_at": "2023-08-30T19:49:57.293370Z",
  "created_at": "2023-08-30T19:49:37.928333Z",
  "data_removed": false,
  "error": null,
  "id": "copvaldbezl647dskdy6ksig5m",
  "input": {
    "top_p": 0.95,
    "prompt": "write python code for a simple calculator",
    "temperature": 0.7,
    "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
    "max_new_tokens": 512,
    "repetition_penalty": 1.15
  },
  "logs": null,
  "metrics": {
    "predict_time": 19.408649,
    "total_time": 19.365037
  },
  "output": "\nHere's a basic Python code for a simple calculator with addition, subtraction, multiplication and division operations:\r\n\r\n```python\r\nnum1 = float(input(\"Enter first number: \"))\r\nnum2 = float(input(\"Enter second number: \"))\r\n\r\nprint(\"Select operation\")\r\nprint(\"1. Addition\")\r\nprint(\"2. Subtraction\")\r\nprint(\"3. Multiplication\")\r\nprint(\"4. Division\")\r\n\r\nchoice = input(\"Enter choice (1/2/3/4): \")\r\n\r\nif choice == '1':\r\n    print(\"Result: \", num1 + num2)\r\nelif choice == '2':\r\n    print(\"Result: \", num1 - num2)\r\nelif choice == '3':\r\n    print(\"Result: \", num1 * num2)\r\nelif choice == '4':\r\n    if num2 != 0:\r\n        print(\"Result: \", num1 / num2)\r\nelse:\r\n    print(\"Invalid input!\")\r\n```\r\n\r\nIn this program, we take two numbers as inputs from the user using `float()` function to convert them into floating point numbers. Then, we display a menu of available operations and ask the user to choose one.\r\n\r\nBased on the user's choice, we perform the corresponding arithmetic operation using conditional statements (`if`, `elif` and `else`). If the user chooses division, we also check whether the second number is not zero to avoid division by zero error.\r\n\r\nFinally, we display the result of the selected operation using `print()` statement. </s>",
  "started_at": "2023-08-30T19:49:37.884721Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/copvaldbezl647dskdy6ksig5m",
    "cancel": "https://api.replicate.com/v1/predictions/copvaldbezl647dskdy6ksig5m/cancel"
  },
  "version": "c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74"
}

Generated in

19.4 seconds

Tweak it Share Report

Prediction

lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74

Model

lucataco/wizardcoder-python-34b-v1.0:c4798dba

x5a4qvtbyvfqm3untift5zwmgu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

17.1s

Created

over 1 year ago

Input

top_p: 0.95
prompt: write the html code for a webpage with a button that when pressed, changes the background color to a random color
temperature: 0.7
system_prompt: Below is an instruction that describes a task. Write a response that appropriately completes the request.
max_new_tokens: 512
repetition_penalty: 1.15

{
  "top_p": 0.95,
  "prompt": "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
  "temperature": 0.7,
  "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
  "max_new_tokens": 512,
  "repetition_penalty": 1.15
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/wizardcoder-python-34b-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
  {
    input: {
      top_p: 0.95,
      prompt: "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
      temperature: 0.7,
      system_prompt: "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      max_new_tokens: 512,
      repetition_penalty: 1.15
    }
  }
);

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

Import the client:

import replicate

Run lucataco/wizardcoder-python-34b-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/wizardcoder-python-34b-v1.0:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
    input={
        "top_p": 0.95,
        "prompt": "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
        "temperature": 0.7,
        "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
        "max_new_tokens": 512,
        "repetition_penalty": 1.15
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/wizardcoder-python-34b-v1.0 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": "c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74",
    "input": {
      "top_p": 0.95,
      "prompt": "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
      "temperature": 0.7,
      "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      "max_new_tokens": 512,
      "repetition_penalty": 1.15
    }
  }' \
  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/lucataco/wizardcoder-python-34b-v1.0@sha256:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74 \
  -i 'top_p=0.95' \
  -i 'prompt="write the html code for a webpage with a button that when pressed, changes the background color to a random color"' \
  -i 'temperature=0.7' \
  -i 'system_prompt="Below is an instruction that describes a task. Write a response that appropriately completes the request."' \
  -i 'max_new_tokens=512' \
  -i 'repetition_penalty=1.15'

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/lucataco/wizardcoder-python-34b-v1.0@sha256:c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_p": 0.95,
      "prompt": "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
      "temperature": 0.7,
      "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
      "max_new_tokens": 512,
      "repetition_penalty": 1.15
    }
  }' \
  http://localhost:5000/predictions

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

Output

<!DOCTYPE html> <html> <head> <title>Random Background Color</title> <style> body { font-family: Arial, sans-serif; text-align: center; } h1 { margin-top: 50px; } button { padding: 20px; border-radius: 5px; background-color: #4CAF50; /* Green */ border: none; color: white; font-size: 20px; cursor: pointer; } button:hover { background-color: #3e8e41; } </style> </head> <body> <h1>Click the Button to Change the Background Color</h1> <button onclick="changeBackgroundColor()">Change Background Color</button> <script> function changeBackgroundColor() { var colors = ["red", "blue", "green", "yellow", "orange"]; var randomColor = colors[Math.floor(Math.random() * colors.length)]; document.body.style.backgroundColor = randomColor; } </script> </body> </html> </s>

{
  "completed_at": "2023-08-30T19:53:50.333505Z",
  "created_at": "2023-08-30T19:53:33.267300Z",
  "data_removed": false,
  "error": null,
  "id": "x5a4qvtbyvfqm3untift5zwmgu",
  "input": {
    "top_p": 0.95,
    "prompt": "write the html code for a webpage with a button that when pressed, changes the background color to a random color",
    "temperature": 0.7,
    "system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
    "max_new_tokens": 512,
    "repetition_penalty": 1.15
  },
  "logs": null,
  "metrics": {
    "predict_time": 17.096323,
    "total_time": 17.066205
  },
  "output": "\n<!DOCTYPE html>\r\n<html>\r\n  <head>\r\n    <title>Random Background Color</title>\r\n    <style>\r\n      body {\r\n        font-family: Arial, sans-serif;\r\n        text-align: center;\r\n      }\r\n\r\n      h1 {\r\n        margin-top: 50px;\r\n      }\r\n\r\n      button {\r\n        padding: 20px;\r\n        border-radius: 5px;\r\n        background-color: #4CAF50; /* Green */\r\n        border: none;\r\n        color: white;\r\n        font-size: 20px;\r\n        cursor: pointer;\r\n      }\r\n\r\n      button:hover {\r\n        background-color: #3e8e41;\r\n      }\r\n    </style>\r\n  </head>\r\n  <body>\r\n    <h1>Click the Button to Change the Background Color</h1>\r\n    <button onclick=\"changeBackgroundColor()\">Change Background Color</button>\r\n\r\n    <script>\r\n      function changeBackgroundColor() {\r\n        var colors = [\"red\", \"blue\", \"green\", \"yellow\", \"orange\"];\r\n        var randomColor = colors[Math.floor(Math.random() * colors.length)];\r\n        document.body.style.backgroundColor = randomColor;\r\n      }\r\n    </script>\r\n  </body>\r\n</html> </s>",
  "started_at": "2023-08-30T19:53:33.237182Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/x5a4qvtbyvfqm3untift5zwmgu",
    "cancel": "https://api.replicate.com/v1/predictions/x5a4qvtbyvfqm3untift5zwmgu/cancel"
  },
  "version": "c4798dbaf5104519a74b43dc2574b13012a74714c2c43f555c6ccb9b8e0a6b74"
}

Generated in

17.1 seconds

Tweak it Share Report

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lucataco / wizardcoder-python-34b-v1.0

Prediction

Input

Output

Prediction

Input

Output

Logs (copvaldbezl647dskdy6ksig5m)

Logs (x5a4qvtbyvfqm3untift5zwmgu)