Meta7 local models

Llama Models: The Most Popular Local AI

Meta's Llama is the most widely used open-weight model family in the world. Llama 3.2 and 3.1 models range from 1B to 405B parameters and run on everything from iPhones to high-end workstations. With the largest ecosystem of fine-tunes, tools, and community support, Llama is the safest default choice for local AI.

Developer

Meta

Models

7

Size Range

1B – 405B

RAM Range

3 – 256 GB

Key Features

✓Most popular open-weight model family
✓Strong general reasoning and instruction following
✓Huge ecosystem of fine-tunes and tools
✓Sizes from 1B to 405B parameters

All Llama Models

ModelSizeQuantVRAMMin RAMBest ForQualityOllama
Llama 3.2 1B Instruct1BQ4_K_M1 GB3 GBChat
50
Llama 3.2 3B Instruct3BQ4_K_M2.5 GB6 GBChat
67
Llama 3.1 8B Instruct8BQ4_K_M6.5 GB12 GBChat, Coding
82
Llama 3.1 8B Instruct (Q5)8BQ5_K_M8 GB14 GBChat, Coding
85
Llama 3.1 70B Instruct70BQ4_K_M42 GB48 GBQuality, Coding
99
Llama 3.3 70B Instruct70BQ4_K_M42 GB48 GBQuality, Coding
98
Llama 3.1 405B Instruct405BQ4_K_M243 GB256 GBQuality, Reasoning, Coding
99

Device Compatibility

Which Llama models can run on each device class, based on minimum RAM requirements.

ModeliPhoneAirProStudioMini
Llama 3.2 1B Instruct (1B)ExcellentExcellentExcellentExcellentExcellent
Llama 3.2 3B Instruct (3B)PossiblePossibleExcellentExcellentExcellent
Llama 3.1 8B Instruct (8B)PossiblePossiblePossibleExcellentPossible
Llama 3.1 8B Instruct (Q5) (8B)NoPossiblePossibleExcellentPossible
Llama 3.1 70B Instruct (70B)NoNoPossiblePossiblePossible
Llama 3.3 70B Instruct (70B)NoNoPossiblePossiblePossible
Llama 3.1 405B Instruct (405B)NoNoNoPossibleNo

RAM Requirements

Llama 3.2 1B Instruct
1 GB
min 3 GB
Llama 3.2 3B Instruct
2.5 GB
min 6 GB
Llama 3.1 8B Instruct
6.5 GB
min 12 GB
Llama 3.1 8B Instruct (Q5)
8 GB
min 14 GB
Llama 3.1 70B Instruct
42 GB
min 48 GB
Llama 3.3 70B Instruct
42 GB
min 48 GB
Llama 3.1 405B Instruct
243 GB
min 256 GB

Frequently Asked Questions

What is the best Llama model for a MacBook?+
Llama 3.2 3B for MacBook Air (8GB RAM) or Llama 3.1 8B for MacBook Pro (16GB+ RAM). The 8B model is the community favorite for general-purpose local AI.
Can Llama 70B run on a Mac?+
Yes, but you need at least 48GB RAM (Mac Studio or maxed-out MacBook Pro). The Q4 quantized version uses about 42GB. Expect around 8-12 tokens per second on M4 Max.
What is the difference between Llama 3.1 and 3.2?+
Llama 3.2 added small sizes (1B, 3B) optimized for edge devices and mobile. Llama 3.1 covers 8B, 70B, and 405B. For most users, pick 3.2 3B for small devices or 3.1 8B for laptops.
How does Llama compare to Qwen?+
Llama has stronger general reasoning and a larger community. Qwen has more size options and better multilingual support. At 7-8B, they are close in quality — pick based on your use case.

Related Model Families

QwenAlibaba CloudMistralMistral AIGemmaGoogle DeepMind

Getting Started

Best LLM for MacBookHow to Set Up OllamaBrowse All DevicesModelFit Wizard