lucataco / freewilly2

Stability AI's FreeWilly2

Cold

Public
311 runs
A100 (80GB)
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

lucataco/freewilly2:41492e2ddf82e323c673a9286730ac9c0f6cb11847fd8c109d07fd78b942e93d

Model

lucataco/freewilly2:41492e2d

sdxx7u3b3ktqnsqlmyi42bwl3a

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

4m 12s

Created

almost 2 years ago

Input

top_p: 0.95
prompt: Tell me about AI
temperature: 0.75
system_prompt: You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
max_new_tokens: 512
repetition_penalty: 1.1

{
  "top_p": 0.95,
  "prompt": "Tell me about AI",
  "temperature": 0.75,
  "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.",
  "max_new_tokens": 512,
  "repetition_penalty": 1.1
}

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/freewilly2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/freewilly2:41492e2ddf82e323c673a9286730ac9c0f6cb11847fd8c109d07fd78b942e93d",
  {
    input: {
      top_p: 0.95,
      prompt: "Tell me about AI",
      temperature: 0.75,
      system_prompt: "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.",
      max_new_tokens: 512,
      repetition_penalty: 1.1
    }
  }
);

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

Import the client:

import replicate

Run lucataco/freewilly2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/freewilly2:41492e2ddf82e323c673a9286730ac9c0f6cb11847fd8c109d07fd78b942e93d",
    input={
        "top_p": 0.95,
        "prompt": "Tell me about AI",
        "temperature": 0.75,
        "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.",
        "max_new_tokens": 512,
        "repetition_penalty": 1.1
    }
)
print(output)

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

Run lucataco/freewilly2 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": "lucataco/freewilly2:41492e2ddf82e323c673a9286730ac9c0f6cb11847fd8c109d07fd78b942e93d",
    "input": {
      "top_p": 0.95,
      "prompt": "Tell me about AI",
      "temperature": 0.75,
      "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\'t know the answer to a question, please don\'t share false information.",
      "max_new_tokens": 512,
      "repetition_penalty": 1.1
    }
  }' \
  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 simulation of human intelligence in machines programmed to think like humans and mimic their actions. These machines can be designed to recognize patterns, understand language, learn from experience, and make decisions based on the data they process. AI has various applications, including image and speech recognition, natural language processing, robotics, and decision-making systems. The goal of AI research is to create intelligent agents that can perform tasks that typically require human intelligence, ultimately leading to more efficient and effective solutions for complex problems.</s>

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