lucataco / ollama-llama3.3-70b

Ollama Llama 3.3 70B

Cold

Public
13.6K runs
L40S
GitHub
Weights
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3

Model

lucataco/ollama-llama3.3-70b:29f7aa41

mcsw3bc1f9rmc0ckta8t8x6f3m

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

85.7s

Created

5 months ago

Input

top_p: 0.95
prompt: Who are you?
max_tokens: 512
temperature: 0.7

{
  "top_p": 0.95,
  "prompt": "Who are you?",
  "max_tokens": 512,
  "temperature": 0.7
}

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/ollama-llama3.3-70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
  {
    input: {
      top_p: 0.95,
      prompt: "Who are you?",
      max_tokens: 512,
      temperature: 0.7
    }
  }
);

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/ollama-llama3.3-70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
    input={
        "top_p": 0.95,
        "prompt": "Who are you?",
        "max_tokens": 512,
        "temperature": 0.7
    }
)

# The lucataco/ollama-llama3.3-70b 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/lucataco/ollama-llama3.3-70b/api#output-schema
    print(item, end="")

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

Run lucataco/ollama-llama3.3-70b 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/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
    "input": {
      "top_p": 0.95,
      "prompt": "Who are you?",
      "max_tokens": 512,
      "temperature": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

I'm an artificial intelligence model known as Llama. Llama stands for "Large Language Model Meta AI."

Generated in

2.1 seconds

Tweak it Share Report

Prediction

lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3

Model

lucataco/ollama-llama3.3-70b:29f7aa41

cabsvq8a2nrm80ckta9vemr5f8

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

19.5s

Created

5 months ago

Input

top_p: 0.95
prompt: Write code to check if number is prime, use that to see if the number 7 is prime
max_tokens: 512
temperature: 0.7

{
  "top_p": 0.95,
  "prompt": "Write code to check if number is prime, use that to see if the number 7 is prime",
  "max_tokens": 512,
  "temperature": 0.7
}

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/ollama-llama3.3-70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
  {
    input: {
      top_p: 0.95,
      prompt: "Write code to check if number is prime, use that to see if the number 7 is prime",
      max_tokens: 512,
      temperature: 0.7
    }
  }
);

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/ollama-llama3.3-70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
    input={
        "top_p": 0.95,
        "prompt": "Write code to check if number is prime, use that to see if the number 7 is prime",
        "max_tokens": 512,
        "temperature": 0.7
    }
)

# The lucataco/ollama-llama3.3-70b 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/lucataco/ollama-llama3.3-70b/api#output-schema
    print(item, end="")

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

Run lucataco/ollama-llama3.3-70b 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/ollama-llama3.3-70b:29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3",
    "input": {
      "top_p": 0.95,
      "prompt": "Write code to check if number is prime, use that to see if the number 7 is prime",
      "max_tokens": 512,
      "temperature": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

**Prime Number Checker Code** ```python def is_prime(n: int) -> bool: """ Checks if a number is prime. Args: n (int): The number to check. Returns: bool: True if the number is prime, False otherwise. """ if n <= 1: return False for i in range(2, int(n ** 0.5) + 1): if n % i == 0: return False return True # Example usage: def main(): num = 7 result = is_prime(num) print(f"Is {num} a prime number? {result}") if __name__ == "__main__": main() ``` **Explanation:** * The `is_prime` function takes an integer `n` as input and returns a boolean indicating whether it's prime. * It first checks if `n` is less than or equal to 1, in which case it's not prime. * Then, it iterates from 2 to the square root of `n` (inclusive) and checks if `n` is divisible by any of these numbers. If it finds a divisor, it returns False. * If no divisors are found, it returns True, indicating that `n` is prime. **Running this code will output:** ``` Is 7 a prime number? True ```

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  "started_at": "2024-12-17T03:04:32.028026Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream-b.svc.ric1.c.replicate.net/v1/streams/ma32fiwmug4k5lm2wvju2rtzwlxrjgckudjay5i4f4xlnkirsrjq",
    "get": "https://api.replicate.com/v1/predictions/cabsvq8a2nrm80ckta9vemr5f8",
    "cancel": "https://api.replicate.com/v1/predictions/cabsvq8a2nrm80ckta9vemr5f8/cancel"
  },
  "version": "29f7aa41293e897979d3e118ec8527542e5457417ae5d70e92b5f3f10033c5c3"
}

Generated in

19.5 seconds

Tweak it Share Report