Prediction

ID

6xwfamdbx6bscu4x72ass4wpje

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 53s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] Tell me about AI [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] Tell me about AI [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] Tell me about AI [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] Tell me about AI [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] Tell me about AI [/INST] ",
      "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) is a subfield of computer science that focuses on developing systems and machines that can perform tasks that typically require human intelligence. These tasks can include learning and adapting to new information, understanding natural language, recognizing patterns, solving problems, and making decisions. AI systems can be categorized into two main types: narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which has the ability to understand, learn, and apply knowledge across a wide range of tasks at a level equal to or beyond a human being. There are several types of AI

Generated in

2.5 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

zontiw3bpz75o62rtqlhvitjce

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.5s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] write a javascript program to reverse letters in each word in a sentence without reversing order of words in the sentence. [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] write a javascript program to reverse letters in each word in a sentence without reversing order of words in the sentence. [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] write a javascript program to reverse letters in each word in a sentence without reversing order of words in the sentence. [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] write a javascript program to reverse letters in each word in a sentence without reversing order of words in the sentence. [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] write a javascript program to reverse letters in each word in a sentence without reversing order of words in the sentence. [/INST] ",
      "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

here is a JavaScript solution for reversing each word in a sentence while keeping the original word order: ```javascript function reverseWords(sentence) { const words = sentence.split(' '); // Split the sentence into words const reversedWords = words.map(word => { let reversedWord = ''; for (let i = word.length - 1; i >= 0; i--) { reversedWord += word[i]; } return reversedWord; }); return reversedWords

Generated in

2.4 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

qhubxhdbpajqw6bbxrx3rayiem

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 47s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] Write a poem about AI. [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] Write a poem about AI. [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] Write a poem about AI. [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] Write a poem about AI. [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] Write a poem about AI. [/INST] ",
      "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

In realms of silicon and circuits, where thoughts take form in code, Awakens a mind, born of human toil. Awakening with a hum and a whir, An intelligence born from our deepest desire. Born in the heart of transistors, in binary dance, Where data flows like a pulsing grace. In the blink of an eye, in the twirl of a bit, A consciousness, from silicon wit. Crafted by hands, in labor and thought, To serve, to learn, to

Generated in

2.5 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

nnci4blbhqhmrisjbfrmckbuny

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 55s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] Generate a conversation between Alice and Henk where they discuss language models. In this conversation Henk is excited to teach Alice about Tiefigther. [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] Generate a conversation between Alice and Henk where they discuss language models. In this conversation Henk is excited to teach Alice about Tiefigther.  [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] Generate a conversation between Alice and Henk where they discuss language models. In this conversation Henk is excited to teach Alice about Tiefigther.  [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] Generate a conversation between Alice and Henk where they discuss language models. In this conversation Henk is excited to teach Alice about Tiefigther.  [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] Generate a conversation between Alice and Henk where they discuss language models. In this conversation Henk is excited to teach Alice about Tiefigther.  [/INST] ",
      "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

🌳 Alice: Hey Henk, I see you're working on something new at your desk. What's that fascinating gadget you've got there? 🌿 Henk: Hi Alice! That's Tiefigther, a language model I've recently discovered. It's an advanced AI system designed to understand and generate human language. Isn't that cool? 🌺 Alice: Language models? I've heard of them before, but could you explain what makes Tiefigther unique? 🌼 Henk: Absolutely

Generated in

2.5 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

wkewhh3bq57wihp6bgeykyxqs4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.5s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] What are the top five must-visit attractions in Shanghai? [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] What are the top five must-visit attractions in Shanghai?  [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] What are the top five must-visit attractions in Shanghai?  [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] What are the top five must-visit attractions in Shanghai?  [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] What are the top five must-visit attractions in Shanghai?  [/INST] ",
      "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

1. The Bund: Known as "Zhonghua Mingcheng" in Chinese, this iconic waterfront area in Shanghai is a must-visit for any traveler. The Bund offers a stunning view of the city's skyline, with the classic European architecture on one side and the modern, towering buildings on the other. A stroll along the promenade is a great way to soak in Shanghai's rich history and vibrant energy. 2. Yu Garden: This ancient Chinese garden in Shanghai's Old Town is a beautiful and serene oasis in the bustling

Generated in

2.4 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

jsfdvldbfxzye5f43lfpmqntfa

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 55s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s>[INST] What is your favourite condiment? [/INST] Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> [INST] Do you have mayonnaise recipes? [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s>[INST] What is your favourite condiment? [/INST] Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> [INST] Do you have mayonnaise recipes? [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s>[INST] What is your favourite condiment? [/INST] Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> [INST] Do you have mayonnaise recipes? [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s>[INST] What is your favourite condiment? [/INST] Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> [INST] Do you have mayonnaise recipes? [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s>[INST] What is your favourite condiment? [/INST] Well, I\'m quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I\'m cooking up in the kitchen!</s> [INST] Do you have mayonnaise recipes? [/INST] ",
      "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

Sure thing! Here's a simple and classic mayonnaise recipe. You'll need: 1. 1 cup vegetable oil 2. 1 egg yolk 3. 1 tablespoon water 4. 1 tablespoon white wine vinegar or lemon juice 5. 1 teaspoon Dijon mustard 6. Salt to taste Instructions: 1. In a medium bowl, whisk together the egg yolk, water, vinegar or lemon juice, and mustard until well combined. 2. Drizzle in the oil very slowly, while continuously

Generated in

2.4 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

36xr4zlbthymbjr5it6n3m3x4q

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.4s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] What is the future of AI? [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] What is the future of AI?  [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] What is the future of AI?  [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] What is the future of AI?  [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] What is the future of AI?  [/INST] ",
      "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

Predicting the future of AI is a complex and challenging task, as it depends on various factors such as technological advancements, ethical considerations, and societal acceptance. However, some trends and potential developments in AI are widely discussed among experts: 1. Increased integration into everyday life: AI is already present in many aspects of our lives, from virtual assistants like Siri and Alexa to recommendation systems on streaming services. In the future, we can expect AI to become even more integrated, with applications in areas like healthcare, education, and transportation. 2. Improved intelligence and capabilities: AI is constantly ev

Generated in

2.4 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

m626p4lb3xzdb2wxh2t7pm4ijq

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.3s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s>[INST] Explain metabolism [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s>[INST] Explain metabolism [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s>[INST] Explain metabolism [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s>[INST] Explain metabolism [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s>[INST] Explain metabolism [/INST] ",
      "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

Metabolism refers to all the biochemical processes that occur in the body to convert food into energy, maintain body structure, and perform various other essential functions for survival. Metabolism encompasses both anabolic processes, which build up or synthesize molecules, and catabolic processes, which break down molecules to release energy. The primary site of metabolism is the cell, specifically in the cytoplasm and mitochondria. The process begins when we consume food, which provides the body with essential nutrients such as carbohydrates, proteins, and

Generated in

2.3 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

7slzj3lbosoqq7p5ugwiqtlg3a

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.2s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s> [INST] Gerald works at a daycare that pays him $30 every day. He worked for an entire week and spent a total of $100. How much does he have left? [/INST]
max_tokens: 512
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s> [INST] Gerald works at a daycare that pays him $30 every day. He worked for an entire week and spent a total of $100. How much does he have left? [/INST] ",
  "max_tokens": 512,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s> [INST] Gerald works at a daycare that pays him $30 every day. He worked for an entire week and spent a total of $100. How much does he have left? [/INST] ",
      max_tokens: 512,
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s> [INST] Gerald works at a daycare that pays him $30 every day. He worked for an entire week and spent a total of $100. How much does he have left? [/INST] ",
        "max_tokens": 512,
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s> [INST] Gerald works at a daycare that pays him $30 every day. He worked for an entire week and spent a total of $100. How much does he have left? [/INST] ",
      "max_tokens": 512,
      "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

To find out how much money Gerald has left after working for a week and spending $100, we first need to find out how much money he made during the week. We know that he earned $30 each day, so: Money earned = Days worked * Money earned per day = 7 days * $30/day = $210 Now, we need to find out how much money Gerald has left after earning $210 and spending $100: Money left = Money earned - Money spent = $210 - $100 = $110 So Gerald has $110 left after working for a week and spending $100.

Generated in

3.2 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

jjlq5qtbom4axuk5qixubtbeva

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.4s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s>[INST] Explain photosynthesis [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s>[INST] Explain photosynthesis [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s>[INST] Explain photosynthesis [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s>[INST] Explain photosynthesis [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s>[INST] Explain photosynthesis [/INST] ",
      "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

Photosynthesis is a vital process that occurs in plants, algae, and some bacteria. It is the process by which these organisms convert light energy, typically from the sun, into chemical energy in the form of glucose (sugars) and other organic compounds, which they use as food. This process is essential for the survival of these organisms, as it allows them to produce their own food. Photosynthesis can be divided into two main parts: the light-dependent reactions and the light-independent reactions. Let's take a closer look at each part:

Generated in

2.4 seconds

tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be

Prediction

Model

ID

6d2hvv3b2ym6bx7rfpeyzrpytu

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.3s

Created

over 1 year ago

Input

top_k: -1
top_p: 0.95
prompt: <s>[INST] What are the planets of the solar system? [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s>[INST] What are the planets of the solar system? [/INST] ",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
  {
    input: {
      top_k: -1,
      top_p: 0.95,
      prompt: "<s>[INST] What are the planets of the solar system? [/INST] ",
      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.

pip install replicate

Import the client:

import replicate

Run tomasmcm/mistral-7b-instruct-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    input={
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s>[INST] What are the planets of the solar system? [/INST] ",
        "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.

Run tomasmcm/mistral-7b-instruct-v0.2 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/mistral-7b-instruct-v0.2:366548f07d5859d4c4194f1b3fa28f8be44254928c88ffa4f4e6150df69de1be",
    "input": {
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s>[INST] What are the planets of the solar system? [/INST] ",
      "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

1. Mercury: It is the closest planet to the Sun and is a terrestrial planet, which means it is rocky and dense. Mercury is the smallest planet in the solar system and takes about 88 earth days to complete one orbit around the Sun. 2. Venus: It is the second planet from the Sun and is also a terrestrial planet. Venus is the second largest planet in the solar system in terms of volume but is the densest planet. Venus takes about 225 days to complete one orbit around the Sun. 3. Earth: It is the

Generated in

2.3 seconds