meta/llama-2-13b-chat:56acad22 – Run with an API on Replicate

meta /llama-2-13b-chat:56acad22

Input

prompt

*string

Shift + Return to add a new line

User: Write a poem about open source machine learning. 
Assistant:User: Write a poem about open source machine learning. 
Assistant:

Prompt to send to Llama v2.

max_length

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 500

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.75

top_p

number

(minimum: 0.01, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 1

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1

debug

boolean

provide debugging output in logs

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=meta/llama-2-13b-chat

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run meta/llama-2-13b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "meta/llama-2-13b-chat:56acad22679f6b95d6e45c78309a2b50a670d5ed29a37dd73d182e89772c02f1",
  {
    input: {
      debug: false,
      top_p: 1,
      prompt: "User: Write a poem about open source machine learning. \nAssistant:",
      max_length: 500,
      temperature: 0.75,
      repetition_penalty: 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run meta/llama-2-13b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "meta/llama-2-13b-chat:56acad22679f6b95d6e45c78309a2b50a670d5ed29a37dd73d182e89772c02f1",
    input={
        "debug": False,
        "top_p": 1,
        "prompt": "User: Write a poem about open source machine learning. \nAssistant:",
        "max_length": 500,
        "temperature": 0.75,
        "repetition_penalty": 1
    }
)

# The meta/llama-2-13b-chat 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/meta/llama-2-13b-chat/api#output-schema
    print(item, end="")

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run meta/llama-2-13b-chat 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": "56acad22679f6b95d6e45c78309a2b50a670d5ed29a37dd73d182e89772c02f1",
    "input": {
      "debug": false,
      "top_p": 1,
      "prompt": "User: Write a poem about open source machine learning. \\nAssistant:",
      "max_length": 500,
      "temperature": 0.75,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Sure! Here's a poem about open source machine learning: In the realm of code, where algorithms reign A revolution's brewing, a new domain Open source machine learning, a force so grand Unlocking secrets, with a helping hand TensorFlow and PyTorch, they lead the pack GPUs and CPUs, they make it snap With scikit-learn and Keras too The possibilities are endless, as they do From deep learning to natural language The open source community, they paved the way For a future bright, with AI in sight A world of wonder, where machine learning takes flight So here's to the code, and those who write The open source machine learning, a true delight For it's the power of many, that makes us strong In this revolution, we all belong.

{
  "completed_at": "2023-07-16T17:09:33.974100Z",
  "created_at": "2023-07-16T17:03:21.616762Z",
  "data_removed": false,
  "error": null,
  "id": "ttgy7odbjixknazwei6shc5k6u",
  "input": {
    "top_p": 1,
    "prompt": "User: Write a poem about open source machine learning. \nAssistant:",
    "max_length": 500,
    "temperature": 0.75,
    "repetition_penalty": 1
  },
  "logs": null,
  "metrics": {
    "predict_time": 6.649615,
    "total_time": 372.357338
  },
  "output": [
    "Sure!",
    " Here's",
    " a",
    " poem",
    " about",
    " open",
    " source",
    " machine",
    " learning:\n\nIn",
    " the",
    " realm",
    " of",
    " code,",
    " where",
    " algorithms",
    " reign\nA",
    " revolution's",
    " brewing,",
    " a",
    " new",
    " domain\nOpen",
    " source",
    " machine",
    " learning,",
    " a",
    " force",
    " so",
    " grand\nUnlocking",
    " secrets,",
    " with",
    " a",
    " helping",
    " hand\n\nTensorFlow",
    " and",
    " PyTorch,",
    " they",
    " lead",
    " the",
    " pack\nGPUs",
    " and",
    " CPUs,",
    " they",
    " make",
    " it",
    " snap\nWith",
    " scikit-learn",
    " and",
    " Keras",
    " too\nThe",
    " possibilities",
    " are",
    " endless,",
    " as",
    " they",
    " do\n\nFrom",
    " deep",
    " learning",
    " to",
    " natural",
    " language\nThe",
    " open",
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    " community,",
    " they",
    " paved",
    " the",
    " way\nFor",
    " a",
    " future",
    " bright,",
    " with",
    " AI",
    " in",
    " sight\nA",
    " world",
    " of",
    " wonder,",
    " where",
    " machine",
    " learning",
    " takes",
    " flight\n\nSo",
    " here's",
    " to",
    " the",
    " code,",
    " and",
    " those",
    " who",
    " write\nThe",
    " open",
    " source",
    " machine",
    " learning,",
    " a",
    " true",
    " delight\nFor",
    " it's",
    " the",
    " power",
    " of",
    " many,",
    " that",
    " makes",
    " us",
    " strong\nIn",
    " this",
    " revolution,",
    " we",
    " all",
    " belong."
  ],
  "started_at": "2023-07-16T17:09:27.324485Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ttgy7odbjixknazwei6shc5k6u",
    "cancel": "https://api.replicate.com/v1/predictions/ttgy7odbjixknazwei6shc5k6u/cancel"
  },
  "version": "56acad22679f6b95d6e45c78309a2b50a670d5ed29a37dd73d182e89772c02f1"
}

Generated in

6.7 seconds

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