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Llama

Llama is Meta's open model family and developer platform, including Muse models, Meta Model API, and Muse Code for building with frontier AI in terminal and API workflows.

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How it works / How to use

Llama is Meta's open model family and developer platform, including Muse models, Meta Model API, and Muse Code for building with frontier AI in terminal and API workflows.

  1. Create an account and API key in Llama following the official docs.
  2. Pick the model endpoint that matches latency, cost, and capability needs.
  3. Prototype with a short prompt and log token usage.
  4. Add retries, timeouts, and content filters appropriate to your application.

How to prompt

Muse Code is Meta's multi-agent terminal coding tool built for Muse Spark.

Use Muse Code to implement a REST endpoint for user profile updates with validation and unit tests.

Best output tips

  • Set spend alerts where the dashboard allows.
  • Cache stable completions when safe to reduce cost.
  • Rotate API keys on a regular schedule.
  • Verify current plans and limits on the official Llama website.

Try this AI

Try Llama

Product Details

Pricing, features, limits and latest updates

Llama

Llama is Meta's open model family and developer platform, including Muse models, Meta Model API, and Muse Code for building with frontier AI in terminal and API workflows.

No listed price

Pricing Plans

No listed plans.

Key Features

Chat

chat workflow (www.llama.com).

API

api workflow (www.llama.com).

Open Source

open source workflow (www.llama.com).

Agents

agents workflow (www.llama.com).

Ideas / Prompt experiences

Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.

Example prompt

Agentic coding with Muse Code

Prompt

Use Muse Code to implement a REST endpoint for user profile updates with validation and unit tests.

Short explanation

Muse Code is Meta's multi-agent terminal coding tool built for Muse Spark.

Example prompt

API integration

Prompt

Make a first API call to Meta Model API using an OpenAI-compatible client to summarize a technical document.

Short explanation

Meta Model API provides self-serve access to Muse Spark and related models.

Share your experience

Required fields are marked. Variation, result, and explanation are optional.

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