Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets

Public

100.8K runs

L40S

License

GitHub

Playground API Examples README Versions

Prediction

microsoft/phi-3-mini-4k-instruct:c4576a0e

Model

microsoft/phi-3-mini-4k-instruct:c4576a0e

3gh4pa9bpsrgm0cf2wkbrh935m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6.3s

Created

over 1 year ago

Input

top_k: 1
top_p: 1
prompt: I am going to Paris, what should I see?
max_length: 200
temperature: 0.1
system_prompt: You are a helpful AI assistant.
repetition_penalty: 1.1

{
  "top_k": 1,
  "top_p": 1,
  "prompt": "I am going to Paris, what should I see?",
  "max_length": 200,
  "temperature": 0.1,
  "system_prompt": "You are a helpful AI assistant.",
  "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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
  {
    input: {
      top_k: 1,
      top_p: 1,
      prompt: "I am going to Paris, what should I see?",
      max_length: 200,
      temperature: 0.1,
      system_prompt: "You are a helpful AI assistant.",
      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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
    input={
        "top_k": 1,
        "top_p": 1,
        "prompt": "I am going to Paris, what should I see?",
        "max_length": 200,
        "temperature": 0.1,
        "system_prompt": "You are a helpful AI assistant.",
        "repetition_penalty": 1.1
    }
)

# The microsoft/phi-3-mini-4k-instruct 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/microsoft/phi-3-mini-4k-instruct/api#output-schema
    print(item, end="")

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

Run microsoft/phi-3-mini-4k-instruct 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": "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
    "input": {
      "top_k": 1,
      "top_p": 1,
      "prompt": "I am going to Paris, what should I see?",
      "max_length": 200,
      "temperature": 0.1,
      "system_prompt": "You are a helpful AI assistant.",
      "repetition_penalty": 1.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Paris is an incredible city with rich history, art, and culture. Here's a list of must-see attractions that you can consider during your visit: 1. Eiffel Tower: Start your trip by visiting the iconic symbol of Paris - The Eiffel Tower. Enjoy panoramic views from its observation decks or take an elevator ride up to the top. 2. Louvre Museum: Home to thousands of works of art, including Leonardo da Vinci's Mona Lisa, this museum offers a fascinating glimpse into human creativity throughout history. 3. Notre-Dame Cathedral: This Gothic masterpiece is one of the most famous cathedrals in the world. Although it suffered damage due to fire in 2019, it remains an important historical site. 4. Montmartre: Explore the bohemian neighborhood known for its artists

{
  "completed_at": "2024-04-25T21:25:34.892800Z",
  "created_at": "2024-04-25T21:25:28.630000Z",
  "data_removed": false,
  "error": null,
  "id": "3gh4pa9bpsrgm0cf2wkbrh935m",
  "input": {
    "top_k": 1,
    "top_p": 1,
    "prompt": "I am going to Paris, what should I see?",
    "max_length": 200,
    "temperature": 0.1,
    "system_prompt": "You are a helpful AI assistant.",
    "repetition_penalty": 1.1
  },
  "logs": null,
  "metrics": {
    "predict_time": 6.257931,
    "total_time": 6.2628
  },
  "output": [
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    "Here's ",
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    "",
    "must-see ",
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    "attractions ",
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    "Cathedral: ",
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    "",
    "",
    "Montmartre: ",
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    "",
    "Explore ",
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    "known ",
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    "its ",
    "artists"
  ],
  "started_at": "2024-04-25T21:25:28.634869Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/23qdbzze7r2g3nsv4heogxabbopmlc2zun5np7q7xyxgdofwufla",
    "get": "https://api.replicate.com/v1/predictions/3gh4pa9bpsrgm0cf2wkbrh935m",
    "cancel": "https://api.replicate.com/v1/predictions/3gh4pa9bpsrgm0cf2wkbrh935m/cancel"
  },
  "version": "c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162"
}

Generated in

6.3 seconds

Tweak it Iterate in playground Share Report

Prediction

microsoft/phi-3-mini-4k-instruct:c4576a0e

Model

microsoft/phi-3-mini-4k-instruct:c4576a0e

9hwsnt2h39rgg0cf2wk9vrqwmr

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6.4s

Created

over 1 year ago

Input

top_k: 1
top_p: 1
prompt: Can you provide ways to eat combinations of bananas and dragonfruits?
max_length: 200
temperature: 0.1
system_prompt: You are a helpful AI assistant.
repetition_penalty: 1.1

{
  "top_k": 1,
  "top_p": 1,
  "prompt": "Can you provide ways to eat combinations of bananas and dragonfruits?",
  "max_length": 200,
  "temperature": 0.1,
  "system_prompt": "You are a helpful AI assistant.",
  "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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
  {
    input: {
      top_k: 1,
      top_p: 1,
      prompt: "Can you provide ways to eat combinations of bananas and dragonfruits?",
      max_length: 200,
      temperature: 0.1,
      system_prompt: "You are a helpful AI assistant.",
      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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
    input={
        "top_k": 1,
        "top_p": 1,
        "prompt": "Can you provide ways to eat combinations of bananas and dragonfruits?",
        "max_length": 200,
        "temperature": 0.1,
        "system_prompt": "You are a helpful AI assistant.",
        "repetition_penalty": 1.1
    }
)

# The microsoft/phi-3-mini-4k-instruct 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/microsoft/phi-3-mini-4k-instruct/api#output-schema
    print(item, end="")

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

Run microsoft/phi-3-mini-4k-instruct 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": "microsoft/phi-3-mini-4k-instruct:c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162",
    "input": {
      "top_k": 1,
      "top_p": 1,
      "prompt": "Can you provide ways to eat combinations of bananas and dragonfruits?",
      "max_length": 200,
      "temperature": 0.1,
      "system_prompt": "You are a helpful AI assistant.",
      "repetition_penalty": 1.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Certainly! Bananas and dragon fruits can be combined in various delicious ways, both as standalone dishes or incorporated into other recipes. Here are some ideas: 1. Fruit salad: Combine sliced bananas and dragon fruit with your favorite fruits like strawberries, blueberries, kiwi, and mango for an exotic tropical fruit salad. Drizzle it with honey or lime juice for added flavor. 2. Smoothie bowl: Blend ripe bananas, dragon fruit, almond milk, and ice cubes until smooth. Pour the mixture into a bowl and top it with granola, coconut flakes, chia seeds, and fresh berries. 3. Dragon fruit sorbet: Puree frozen banana slices and dragon fruit together, then blend until creamy.

{
  "completed_at": "2024-04-25T21:25:44.585135Z",
  "created_at": "2024-04-25T21:25:38.202000Z",
  "data_removed": false,
  "error": null,
  "id": "9hwsnt2h39rgg0cf2wk9vrqwmr",
  "input": {
    "top_k": 1,
    "top_p": 1,
    "prompt": "Can you provide ways to eat combinations of bananas and dragonfruits?",
    "max_length": 200,
    "temperature": 0.1,
    "system_prompt": "You are a helpful AI assistant.",
    "repetition_penalty": 1.1
  },
  "logs": null,
  "metrics": {
    "predict_time": 6.377896,
    "total_time": 6.383135
  },
  "output": [
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    "sorbet: ",
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  ],
  "started_at": "2024-04-25T21:25:38.207239Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/2kuwsojmov5qh2ons2ksx2q6vp33oukcxyndxo5fwaflszecit6q",
    "get": "https://api.replicate.com/v1/predictions/9hwsnt2h39rgg0cf2wk9vrqwmr",
    "cancel": "https://api.replicate.com/v1/predictions/9hwsnt2h39rgg0cf2wk9vrqwmr/cancel"
  },
  "version": "c4576a0e0c076f0feeced00df4ed332c60ffd8de781afef68ff0611645548162"
}

Generated in

6.4 seconds

Tweak it Iterate in playground Share Report

Prediction

microsoft/phi-3-mini-4k-instruct:e17386e6

Model

microsoft/phi-3-mini-4k-instruct:e17386e6

4erapbse6srgg0cgehjv44y5eg

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 22s

Created

over 1 year ago

Input

top_k: 1
top_p: 1
prompt: How would you explain Internet to a medieval knight?
max_tokens: 512
min_tokens: 0
temperature: 0.1
system_prompt: You are a helpful AI assistant.
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": 1,
  "top_p": 1,
  "prompt": "How would you explain Internet to a medieval knight?",
  "max_tokens": 512,
  "min_tokens": 0,
  "temperature": 0.1,
  "system_prompt": "You are a helpful AI assistant.",
  "presence_penalty": 0,
  "frequency_penalty": 0
}

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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "microsoft/phi-3-mini-4k-instruct:e17386e6ae2e351f63783fa89f427fd0ed415524a7b3d8c122f6ac80ad0166b1",
  {
    input: {
      top_k: 1,
      top_p: 1,
      prompt: "How would you explain Internet to a medieval knight?",
      max_tokens: 512,
      min_tokens: 0,
      temperature: 0.1,
      system_prompt: "You are a helpful AI assistant.",
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);

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 microsoft/phi-3-mini-4k-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "microsoft/phi-3-mini-4k-instruct:e17386e6ae2e351f63783fa89f427fd0ed415524a7b3d8c122f6ac80ad0166b1",
    input={
        "top_k": 1,
        "top_p": 1,
        "prompt": "How would you explain Internet to a medieval knight?",
        "max_tokens": 512,
        "min_tokens": 0,
        "temperature": 0.1,
        "system_prompt": "You are a helpful AI assistant.",
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The microsoft/phi-3-mini-4k-instruct 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/microsoft/phi-3-mini-4k-instruct/api#output-schema
    print(item, end="")

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

Run microsoft/phi-3-mini-4k-instruct 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": "microsoft/phi-3-mini-4k-instruct:e17386e6ae2e351f63783fa89f427fd0ed415524a7b3d8c122f6ac80ad0166b1",
    "input": {
      "top_k": 1,
      "top_p": 1,
      "prompt": "How would you explain Internet to a medieval knight?",
      "max_tokens": 512,
      "min_tokens": 0,
      "temperature": 0.1,
      "system_prompt": "You are a helpful AI assistant.",
      "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

My noble knight, imagine a vast kingdom, not of land and stone, but of knowledge and connection. This kingdom, known as the Internet, is a magical realm where people from all corners of the world can share their thoughts, stories, and wisdom. In this kingdom, there are many different paths, called "websites," where people can gather information on various subjects. These websites are like grand libraries, filled with scrolls and tomes on every topic imaginable. To navigate this kingdom, one must possess a mystical tool known as a "computer." This device allows you to interact with the kingdom's inhabitants, known as "users," and explore the many paths and libraries within. To communicate with others, knights and commoners alike use a magical messenger service called "email." This allows them to send messages across great distances, as if by enchantment, to their fellow citizens. Another way to connect with others is through a grand marketplace called "social media." Here, people can share their daily lives, exchange ideas, and even form alliances with others from distant lands. To find specific information or resources, one can use a powerful search tool known as a "search engine." This tool allows you to summon knowledge from the kingdom's vast libraries with just a few words, much like calling upon a wise sage for guidance. In this kingdom, there are also many merchants and artisans who offer their goods and services through a system called "e-commerce." This allows you to purchase items from distant lands without ever leaving your castle. In summary, the Internet is a vast and magical kingdom of knowledge and connection, where people can share ideas, communicate, and explore the world in ways that were once thought impossible. As a knight, you may find this realm both fascinating and bewildering, but with time and practice, you will surely master its many wonders.

{
  "completed_at": "2024-07-02T17:04:08.484158Z",
  "created_at": "2024-07-02T17:01:46.422000Z",
  "data_removed": false,
  "error": null,
  "id": "4erapbse6srgg0cgehjv44y5eg",
  "input": {
    "top_k": 1,
    "top_p": 1,
    "prompt": "How would you explain Internet to a medieval knight?",
    "max_tokens": 512,
    "min_tokens": 0,
    "temperature": 0.1,
    "system_prompt": "You are a helpful AI assistant.",
    "presence_penalty": 0,
    "frequency_penalty": 0
  },
  "logs": "INFO 07-02 17:04:02 async_llm_engine.py:529] Received request 1e304be124294e54972b3c9e8562b9cc: prompt: '<|system|>\\nYou are a helpful AI assistant.<|end|>\\n<|user|>\\nHow would you explain Internet to a medieval knight?<|end|>\\n<|assistant|>\\n', sampling_params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.1, top_p=1.0, top_k=1, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[32000], include_stop_str_in_output=False, ignore_eos=False, max_tokens=512, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: None, lora_request: None.\n stdoutINFO 07-02 17:04:05 metrics.py:334] Avg prompt throughput: 4.8 tokens/s, Avg generation throughput: 44.7 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.3%, CPU KV cache usage: 0.0%\n stdoutGeneration took 1719937941.42sFormatted prompt: <|system|>\nYou are a helpful AI assistant.<|end|>\n<|user|>\nHow would you explain Internet to a medieval knight?<|end|>\n<|assistant|>\nINFO 07-02 17:04:08 async_llm_engine.py:120] Finished request 1e304be124294e54972b3c9e8562b9cc.\n stdout",
  "metrics": {
    "predict_time": 6.452042781,
    "total_time": 142.062158
  },
  "output": [
    " My",
    " noble",
    " kn",
    "ight",
    ",",
    " imagine",
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    ",",
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    " mag",
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    ",",
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    " much",
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    ".",
    "\n",
    "\n",
    "In",
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    " there",
    " are",
    " also",
    " many",
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    " offer",
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    "\n",
    "\n",
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    " mag",
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    " As",
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    " practice",
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    " surely",
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    " many",
    " w",
    "onders",
    ".",
    ""
  ],
  "started_at": "2024-07-02T17:04:02.032115Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/u6onlcqi3huwnqye3zrgvg5uv66x3qq6fzqfg223imzggiccwanq",
    "get": "https://api.replicate.com/v1/predictions/4erapbse6srgg0cgehjv44y5eg",
    "cancel": "https://api.replicate.com/v1/predictions/4erapbse6srgg0cgehjv44y5eg/cancel"
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  "version": "e17386e6ae2e351f63783fa89f427fd0ed415524a7b3d8c122f6ac80ad0166b1"
}

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Logs (3gh4pa9bpsrgm0cf2wkbrh935m)

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