Llama 3.3 Hardware and System Requirements

This article details the hardware and software requirements for running Llama 3.3, focusing on the 70B parameter model. Information is compiled from various online sources.

Llama 3.3 70B Requirements

The following table summarizes the requirements for the Llama 3.3 70B parameter model:

Category	Requirement	Details
Model Specifications	Parameters	70 billion
	Context Length	128,000 tokens
	Multilingual Support	Supports over 10 languages, including English, Spanish, German, French, Italian, Portuguese, Hindi, Thai, and more
Hardware Requirements	CPU and RAM	CPU: High-performance multicore processor RAM: Minimum of 64 GB recommended
	GPU	NVIDIA RTX series (for optimal performance), at least 24 GB of VRAM
	Storage	Disk Space: Approximately 200 GB required for model files
Estimated GPU Memory Requirements	Higher Precision Modes	BF16/FP16: ~12 GB
	Lower Precision Modes	FP8: ~6 GB INT4: ~3.5 GB
Software Requirements	Operating System	Compatible with cloud platforms, PCs, and edge devices
	Software Dependencies	Programming Language: Python 3.8 or higher Frameworks: PyTorch Libraries: Hugging Face Transformers, CUDA, TensorRT (for NVIDIA optimizations)

Note: While the table above specifies Llama 3.3 70B requirements, other Llama 3 versions (3.1 and 3.2) have different requirements, with varying parameter counts and hardware needs. Refer to the original sources for details on those versions. A Reddit thread also mentions that some sources recommend double the RAM suggested by the official Meta website.

Llama 3.1 Requirements (For Comparison)

Another source provides the following minimum requirements for Llama 3.1:

• CPU: Modern processor with at least 8 cores.
• RAM: Minimum of 16 GB recommended.
• GPU: NVIDIA RTX 3090 (24 GB) or RTX 4090 (24 GB) for 16... (Note: The original source cuts off the sentence, so the full GPU requirement is unclear).

This information highlights the significant reduction in hardware requirements achieved by Llama 3.3 compared to its predecessor, Llama 3.1. Llama 3.3 offers comparable performance with less demanding hardware needs. Always consult the official documentation for the most up-to-date and accurate specifications.