Meta late-night open source Llama 4 series of models, 2 trillion parameters large model Llama 4 how to use for free?

Saturday. MetaReleased the newOpen SourceofLlama 4Series Models.

As an open source model, Llama 4 has one major limitation - its massive size. The smallest Llama 4 Scout model in the family has 109 billion parameters, so large that it simply cannot be run on a local system.

But don't worry! Even if you don't have a GPU, we've found a way to use it for free through the web interface. If you have a strong enough graphics card, you can also download the full model weights - this guide will explain all the ways to get them.

1. Using Llama 4 directly on Meta.ai

The easiest way to experience Llama 4 is through Meta's official AI platform.

Steps:

1. Visit Meta.ai
2. Start chatting straight away - the platform has been upgraded to Llama 4 by default.
3. To confirm, ask, "Which model are you, Llama 3 or Llama 4?" and it should answer, "I run based on Llama 4."

❌ shortcoming: Limited functionality, no support for API calls.

If you just want a quick taste of Llama 4, just visit Meta.ai.

2. Download model weights from Llama.com

If you want to use the original model weights directly, Meta offers a free download.

Steps:

1. Visit Llama.com
2. Fill out the request form to get access

✅ Pros: no registration required, instant access. 3. After review, you can download the following models:

Llama 4 Scout

Llama 4 Maverick(larger Behemoth (Version may follow)

✅ advantage: Access to full models, support for local/cloud deployment

❌ shortcoming: Application review required, not ready-to-use chat interface

Suitable for: Developers or users who wish to test models locally.

3. Free access to chat and API interfaces through OpenRouter

OpenRouter.ai provides free access to the Llama 4 model API.

Steps:

1. Visit OpenRouter.ai
2. Register for an account (free)
3. Find in the list of models Llama 4 Maverick (free) and Llama 4 Scout (free)
4. Just start chatting or get a free API key for integration!

✅ dominance:

• Completely free API access
• No need to wait for review
• Provides both a web chat interface and an API interface

❌ limitation:

• There may be a limit to the frequency of calls

Applicable scenarios: Ideal for developers who need to quickly integrate the Llama 4 API or for users who want to experience the latest models for free.

4. Use of Llama on HuggingFace 4

Developer Favorite?Hugging Face is always the best choice!

The Hugging Face platform provides a wide range of Llama4 models with various accuracies (e.g., FP8, etc.) for developers.

Steps to use:

1. Visit Hugging Face's Llama 4 page (https://huggingface.co/meta-llama)
2. Fill out Meta's Restricted Access Request Form (approval soon)
3. Use Hugging Face inference API or download model weights directly

✅ dominance:

• Complete model flexibility
• Support for model fine-tuning
• Multiple accuracy options available

❌ limitation:

• Need to request access
• Higher technical threshold
• Self-constructed environment required

population (esp. of a group of people): Ideal for AI researchers and engineers who need to deeply customize their models or perform secondary development.

Final selection of recommendations

While the $400 billion parameter of Llama 4 Behemoth It's not fully available yet, but you can try the following versions for free right now:

🔹 Meta.ai (simplest ready to use)

🔹 OpenRouter.ai (best API solution)

🔹 Llama.com (get model weights)

🔹 Hugging Face (Developer Preferred)

Have you already tried Llama 4?