adirik/mamba-790m:dbdc22f3 – Run with an API on Replicate

Version

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adirik /mamba-790m:dbdc22f3

Playground API

Input

prompt

string

Shift + Return to add a new line

Default: "Text prompt to send to the model."

max_length

integer

(minimum: 1, maximum: 5000)

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

Default: 100

temperature

number

(minimum: 0.1, maximum: 5)

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

Default: 1

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

top_k

integer

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

Default: 1

repetition_penalty

number

(minimum: 0.01, maximum: 10)

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

Default: 1.2

seed

integer

The seed for the random number generator

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

npx create-replicate --model=adirik/mamba-790m

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 adirik/mamba-790m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adirik/mamba-790m:dbdc22f3234f4e86fb53848849727a2ff10da4bc3b17ea7bb6ad83c28ba5e43c",
  {
    input: {
      top_k: 1,
      top_p: 1,
      prompt: "Text prompt to send to the model.",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.2
    }
  }
);
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 adirik/mamba-790m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/mamba-790m:dbdc22f3234f4e86fb53848849727a2ff10da4bc3b17ea7bb6ad83c28ba5e43c",
    input={
        "top_k": 1,
        "top_p": 1,
        "prompt": "Text prompt to send to the model.",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.2
    }
)

# The adirik/mamba-790m 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/adirik/mamba-790m/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 adirik/mamba-790m 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": "dbdc22f3234f4e86fb53848849727a2ff10da4bc3b17ea7bb6ad83c28ba5e43c",
    "input": {
      "top_k": 1,
      "top_p": 1,
      "prompt": "Text prompt to send to the model.",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.