stability-ai/stablelm-base-alpha-3b:90202e79 | Run with an API on Replicate

Version

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stability-ai /stablelm-base-alpha-3b:90202e79

Playground API

Input

prompt

string

Shift + Return to add a new line

Input Prompt.

Default: "What's your mood today?"

max_tokens

integer

(minimum: 1)

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

Default: 100

top_p

number

(minimum: 0.01, maximum: 1)

Valid if you choose top_p decoding. When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely 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

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: 1.2

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

npx create-replicate --model=stability-ai/stablelm-base-alpha-3b

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 stability-ai/stablelm-base-alpha-3b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stability-ai/stablelm-base-alpha-3b:90202e79dbb2a8fe154c0c0394a413c79965863a860bda2a2ee220c5a840ec50",
  {
    input: {
      top_p: 1,
      prompt: "What's your mood today?",
      max_tokens: 100,
      temperature: 0.75,
      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 stability-ai/stablelm-base-alpha-3b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stablelm-base-alpha-3b:90202e79dbb2a8fe154c0c0394a413c79965863a860bda2a2ee220c5a840ec50",
    input={
        "top_p": 1,
        "prompt": "What's your mood today?",
        "max_tokens": 100,
        "temperature": 0.75,
        "repetition_penalty": 1.2
    }
)

# The stability-ai/stablelm-base-alpha-3b 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/stability-ai/stablelm-base-alpha-3b/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 stability-ai/stablelm-base-alpha-3b 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": "stability-ai/stablelm-base-alpha-3b:90202e79dbb2a8fe154c0c0394a413c79965863a860bda2a2ee220c5a840ec50",
    "input": {
      "top_p": 1,
      "prompt": "What\'s your mood today?",
      "max_tokens": 100,
      "temperature": 0.75,
      "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.