tomasmcm/alma-7b:4e0b4192 – Run with an API on Replicate

Version

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tomasmcm /alma-7b:4e0b4192

Input

prompt

*string

Shift + Return to add a new line

Translate this from English to German:
English: Hi there, what's your name?
German: Translate this from English to German:
English: Hi there, what's your name?
German: 

Text prompt to send to the model.

max_new_tokens

integer

The maximum number of tokens the model should generate as output.

Default: 128

temperature

number

(minimum: 0.01, maximum: 5)

The value used to modulate the next token probabilities.

Default: 0.8

top_p

number

(minimum: 0.01, maximum: 1)

A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

Default: 0.95

top_k

integer

The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

Default: 50

presence_penalty

number

(minimum: 0.01, maximum: 5)

Presence penalty

Default: 1

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

npx create-replicate --model=tomasmcm/alma-7b

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 tomasmcm/alma-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/alma-7b:4e0b419245e5db8edc948dffe8d05d9327dce9ae6c9a764ea7b12e3c66f60b7c",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "Translate this from English to German:\nEnglish: Hi there, what's your name?\nGerman: ",
      temperature: 0.8,
      max_new_tokens: 128,
      presence_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 tomasmcm/alma-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/alma-7b:4e0b419245e5db8edc948dffe8d05d9327dce9ae6c9a764ea7b12e3c66f60b7c",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "Translate this from English to German:\nEnglish: Hi there, what's your name?\nGerman: ",
        "temperature": 0.8,
        "max_new_tokens": 128,
        "presence_penalty": 1
    }
)
print(output)

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 tomasmcm/alma-7b 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": "4e0b419245e5db8edc948dffe8d05d9327dce9ae6c9a764ea7b12e3c66f60b7c",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "Translate this from English to German:\\nEnglish: Hi there, what\'s your name?\\nGerman: ",
      "temperature": 0.8,
      "max_new_tokens": 128,
      "presence_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

‚Hey, was ist dein Name?

Generated in

0.5 seconds

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