meta/llama-2-13b:dc4f980b – Run with an API on Replicate

meta /llama-2-13b:dc4f980b

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt to send to the model.

max_new_tokens

integer

(minimum: 1)

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

Default: 128

min_new_tokens

integer

(minimum: -1)

Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.

Default: -1

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, maximum: 1)

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

Default: 0.9

top_k

integer

(minimum: 0)

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

Default: 50

stop_sequences

string

Shift + Return to add a new line

A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.

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

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 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:dc4f980befd2103b0fb17d5854634c0f56d6f80a1a02be1b6f8859ac8ba02896",
  {
    input: {
      debug: false,
      top_k: 50,
      top_p: 0.9,
      prompt: "Once upon a time a llama explored",
      temperature: 0.75,
      max_new_tokens: 128,
      min_new_tokens: -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 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "meta/llama-2-13b:dc4f980befd2103b0fb17d5854634c0f56d6f80a1a02be1b6f8859ac8ba02896",
    input={
        "debug": False,
        "top_k": 50,
        "top_p": 0.9,
        "prompt": "Once upon a time a llama explored",
        "temperature": 0.75,
        "max_new_tokens": 128,
        "min_new_tokens": -1
    }
)

# The meta/llama-2-13b 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/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 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": "dc4f980befd2103b0fb17d5854634c0f56d6f80a1a02be1b6f8859ac8ba02896",
    "input": {
      "debug": false,
      "top_k": 50,
      "top_p": 0.9,
      "prompt": "Once upon a time a llama explored",
      "temperature": 0.75,
      "max_new_tokens": 128,
      "min_new_tokens": -1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

the wilderness with his mother. He was hungry and looked for food. He searched everywhere but could not find anything to eat. Finally, he found some lettuce growing in the wild. He began eating it happily when suddenly there was a terrible rumble of thunder and the ground shook underneath him! The llama quickly ran away from this dangerous place before lightning struck down on top of him or worse yet…being eaten alive by an angry bear! The moral of the story is that you should always be prepared for disasters like these because they can happen at any time without

{
  "completed_at": "2023-09-06T16:56:40.321780Z",
  "created_at": "2023-09-06T16:56:37.646628Z",
  "data_removed": false,
  "error": null,
  "id": "jrt4dmlbyivdysgm7sdnravos4",
  "input": {
    "debug": false,
    "top_k": 50,
    "top_p": 0.9,
    "prompt": "Once upon a time a llama explored",
    "temperature": 0.75,
    "max_new_tokens": 128,
    "min_new_tokens": -1
  },
  "logs": "Your formatted prompt is:\nOnce upon a time a llama explored",
  "metrics": {
    "predict_time": 2.810469,
    "total_time": 2.675152
  },
  "output": [
    " the",
    " w",
    "ilder",
    "ness",
    " with",
    " his",
    " mother",
    ".",
    "\n",
    "He",
    " was",
    " hun",
    "gry",
    " and",
    " looked",
    " for",
    " food",
    ".",
    " He",
    " searched",
    " everywhere",
    " but",
    " could",
    " not",
    " find",
    " anything",
    " to",
    " eat",
    ".",
    " Finally",
    ",",
    " he",
    " found",
    " some",
    " lett",
    "uce",
    " growing",
    " in",
    " the",
    " wild",
    ".",
    " He",
    " began",
    " e",
    "ating",
    " it",
    " happ",
    "ily",
    " when",
    " suddenly",
    " there",
    " was",
    " a",
    " terrible",
    " r",
    "umble",
    " of",
    " th",
    "under",
    " and",
    " the",
    " ground",
    " shook",
    " under",
    "ne",
    "ath",
    " him",
    "!",
    " The",
    " ll",
    "ama",
    " quickly",
    " ran",
    " away",
    " from",
    " this",
    " dangerous",
    " place",
    " before",
    " light",
    "ning",
    " struck",
    " down",
    " on",
    " top",
    " of",
    " him",
    " or",
    " worse",
    " yet",
    "…",
    "be",
    "ing",
    " e",
    "aten",
    " alive",
    " by",
    " an",
    " angry",
    " bear",
    "!",
    "\n",
    "The",
    " moral",
    " of",
    " the",
    " story",
    " is",
    " that",
    " you",
    " should",
    " always",
    " be",
    " prepared",
    " for",
    " dis",
    "aster",
    "s",
    " like",
    " these",
    " because",
    " they",
    " can",
    " happen",
    " at",
    " any",
    " time",
    " without"
  ],
  "started_at": "2023-09-06T16:56:37.511311Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jrt4dmlbyivdysgm7sdnravos4",
    "cancel": "https://api.replicate.com/v1/predictions/jrt4dmlbyivdysgm7sdnravos4/cancel"
  },
  "version": "dc4f980befd2103b0fb17d5854634c0f56d6f80a1a02be1b6f8859ac8ba02896"
}

Generated in

2.8 seconds

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