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Llama

Meta's open-source family of LLMs

4.8•17 reviews•52 shoutouts•

1.3K followers

An openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation.

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Llama shoutouts

Testimonials from top launches

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used this to build

FuseBase /formerly Nimbus/

(701 points)

To truly understand your PDF documents, we leverage the power of LLAMA Parser for advanced parsing. This enables our system to accurately interpret even the most complex documents and tables, leading to more reliable answers when you ask questions about your data.

4d ago

used this to build

My Better AI for iOS

(87 points)

Amazing Open Source Models

4d ago

used this to build

(309 points)

The context window is out of the window :)

6d ago

used this to build

(1,741 points)

We use Llama for a couple of our AI agents due to its open-source flexibility and efficiency. It allows us to customize the model to meet specific requirements while maintaining excellent performance.

5mo ago

used this to build Nily AI

(541 points)

Open-Source Accessibility Advanced Language Understanding Efficient Performance

2mo ago

used this to build Mukh.1

(161 points)

Lightweight on-premise agent support and hybrid models

27d ago

used this to build Ariadna

(912 points)

Open-source flexibility and efficiency—why we choose Llama.

4mo ago

used this to build

(223 points)

Meta AI uses Llama 4 to help you solve problems, navigate your daily questions, and better understand the world around you. With the ability to search across the web, it can help you get recommendations, deep dive on a topic, and stay connected with your friends and family. Or if you’re just looking to play around with it, we provide conversation starters to inspire your searches.

1mo ago

used this to build

(288 points)

An open-source, customizable LLM option, ideal for cost-effective local inference. Perfect for teams needing more control over data and model fine-tuning.

2mo ago

used this to build Mantle

(433 points)

Llama helps our team see new possibilities for AI interactions, both for our platform and our internal development.

4mo ago

used this to build

(312 points)

Llama's open source models allow us to run LLM's on an otherwise infeasible scale of data

3mo ago

Mihajlo Stojkovic

used this to build Smart Grocery Bot

(41 points)

I like the open-source as it allows us to advance the research.

24d ago

used this to build Flowith

(1,291 points)

Thanks to the Llama family of models for their tremendous contribution to the open-source community.

10mo ago

used this to build

(707 points)

Integral’s private LLMs are powered by llama models 💕

7mo ago

used this to build

(78 points)

Promptrepo uses LLaMA when it needs custom, low-cost, high-volume AI infrastructure with full control. It’s ideal for internal workflows or B2B deployments where OpenAI/Gemini hosting costs or data restrictions are limiting.

1mo ago

Thomas Melching

used this to build

(654 points)

Being open-source gives us the flexibility and transparency to build better responses.

7mo ago

used this to build

(76 points)

LLama 4 Scout, a great model for simple tasks!

2mo ago

used this to build

(292 points)

4 words Efficient, SOTA, Accurate, Customizable

5mo ago

used this to build EmemeAI

(128 points)

The LLM, which allows a high degree of freedom of speech, is compatible with UGC.

3mo ago

Alexander De Ridder

used this to build SmythOS

(391 points)

Llama models + fine-tuning = Fast, Performance, Affordable. We use a blend of OpenAI, Anthropic and Llama for our SmythOS product. Usually when we start we use either OAI or Anthropic, and when something is popular/in scale demand, we then train a Llama model to speed things up and reduce costs. Synthetic data is where it's at. To do that, we build classifier agents in SmythOS, and we also build agents to evaluate and compare model providers and identify gaps in our data set.

6mo ago