Prediction

kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b

Model

kcaverly/openchat-3.5-1210-gguf:0d142640

ID

ty6uaftbtcbfqavo6yydnpw3py

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

85.2s

Created

over 1 year ago

Input

prompt: Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?
temperature: 0.7
max_new_tokens: -1
repeat_penalty: 1.1
prompt_template: GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:

{
  "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
  "temperature": 0.7,
  "max_new_tokens": -1,
  "repeat_penalty": 1.1,
  "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
}

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
  {
    input: {
      prompt: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
      temperature: 0.7,
      max_new_tokens: -1,
      repeat_penalty: 1.1,
      prompt_template: "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
  }
);

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    input={
        "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
        "temperature": 0.7,
        "max_new_tokens": -1,
        "repeat_penalty": 1.1,
        "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
)

# The kcaverly/openchat-3.5-1210-gguf 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/kcaverly/openchat-3.5-1210-gguf/api#output-schema
    print(item, end="")

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

Run kcaverly/openchat-3.5-1210-gguf 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": "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    "input": {
      "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
      "temperature": 0.7,
      "max_new_tokens": -1,
      "repeat_penalty": 1.1,
      "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Since Sally is the only girl in her family, she must be considered as one of the "sisters" mentioned. Therefore, Sally has 2 sisters (including herself).

Generated in

0.9 seconds

Tweak it Share Report

Prediction

kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b

Model

kcaverly/openchat-3.5-1210-gguf:0d142640

ID

ty6uaftbtcbfqavo6yydnpw3py

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

85.2s

Created

over 1 year ago

Input

prompt: Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?
temperature: 0.7
max_new_tokens: -1
repeat_penalty: 1.1
prompt_template: GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:

{
  "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
  "temperature": 0.7,
  "max_new_tokens": -1,
  "repeat_penalty": 1.1,
  "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
}

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
  {
    input: {
      prompt: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
      temperature: 0.7,
      max_new_tokens: -1,
      repeat_penalty: 1.1,
      prompt_template: "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
  }
);

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    input={
        "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
        "temperature": 0.7,
        "max_new_tokens": -1,
        "repeat_penalty": 1.1,
        "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
)

# The kcaverly/openchat-3.5-1210-gguf 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/kcaverly/openchat-3.5-1210-gguf/api#output-schema
    print(item, end="")

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

Run kcaverly/openchat-3.5-1210-gguf 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": "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    "input": {
      "prompt": "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?",
      "temperature": 0.7,
      "max_new_tokens": -1,
      "repeat_penalty": 1.1,
      "prompt_template": "GPT Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant: "
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Since Sally is the only girl in her family, she must be considered as one of the "sisters" mentioned. Therefore, Sally has 2 sisters (including herself).

Generated in

0.9 seconds

Tweak it Share Report

Prediction

kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b

Model

kcaverly/openchat-3.5-1210-gguf:0d142640

ID

abqz6elbeyxkj4td7m2qprm5gm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

49.5s

Created

over 1 year ago

Input

prompt: Math Correct User: 10.3 − 7988.8133=<|end_of_turn|>Math Correct Assistant:
temperature: 0.7
max_new_tokens: -1
repeat_penalty: 1.1
prompt_template: {prompt}

{
  "prompt": "Math Correct User: 10.3 − 7988.8133=<|end_of_turn|>Math Correct Assistant:",
  "temperature": 0.7,
  "max_new_tokens": -1,
  "repeat_penalty": 1.1,
  "prompt_template": "{prompt}"
}

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
  {
    input: {
      prompt: "Math Correct User: 10.3 − 7988.8133=<|end_of_turn|>Math Correct Assistant:",
      temperature: 0.7,
      max_new_tokens: -1,
      repeat_penalty: 1.1,
      prompt_template: "{prompt}"
    }
  }
);

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 kcaverly/openchat-3.5-1210-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    input={
        "prompt": "Math Correct User: 10.3 − 7988.8133=<|end_of_turn|>Math Correct Assistant:",
        "temperature": 0.7,
        "max_new_tokens": -1,
        "repeat_penalty": 1.1,
        "prompt_template": "{prompt}"
    }
)

# The kcaverly/openchat-3.5-1210-gguf 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/kcaverly/openchat-3.5-1210-gguf/api#output-schema
    print(item, end="")

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

Run kcaverly/openchat-3.5-1210-gguf 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": "kcaverly/openchat-3.5-1210-gguf:0d1426400ae23540eef130c0cd6cbd7184ac47cffee9dfd16fdf02d065df123b",
    "input": {
      "prompt": "Math Correct User: 10.3 − 7988.8133=<|end_of_turn|>Math Correct Assistant:",
      "temperature": 0.7,
      "max_new_tokens": -1,
      "repeat_penalty": 1.1,
      "prompt_template": "{prompt}"
    }
  }' \
  https://api.replicate.com/v1/predictions

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