# Llama 3.3 70B: RAM and VRAM requirements

> Llama 3.3 70B is a 70B llama model. At Q4_K_M it needs about **45.3 GB** to run and fits **4 of 39** tracked devices. Minimum to run: Apple M4 Max (64GB).

Last validated: 2026-06-15. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 42.52 GB | ~45.3 GB |
| Q8_0 | 74.98 GB | ~77.8 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **Generic Android Phone (8GB RAM)** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): No, not enough memory
- **Nvidia GeForce RTX 4080 (16GB)** (16 GB): No, not enough memory
- **Google Pixel 10 Pro** (16 GB): No, not enough memory
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): No, not enough memory
- **Apple M4 Pro (48GB)** (48 GB): No, not enough memory
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs — room for FP16

Full table of all 39 devices: https://localmodel.run/model/llama-3.3-70b

## How to run
Quickest path: `ollama run llama3.3:70b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 70B
- Default context: 128k tokens
- License: Llama 3.3 Community (commercial use: conditional)
- Released: 2024-12
- HuggingFace: 447,139 downloads/mo, 2820 likes

## FAQ
### How much VRAM or RAM does Llama 3.3 70B need?
About 45.3 GB at Q4_K_M (weights 42.52 GB + KV cache + overhead) at a 4k context. Budget ~77.8 GB for Q8_0.
### Can Llama 3.3 70B run on a laptop?
Llama 3.3 70B is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use Llama 3.3 70B commercially?
Conditionally: Llama 3.3 Community License: free under 700M MAU..

Sources: https://ollama.com/library/llama3.3, https://ollama.com/library/llama3.3/tags, https://huggingface.co/bartowski/Llama-3.3-70B-Instruct-GGUF, https://lmarena.ai/leaderboard
More: https://localmodel.run/model/llama-3.3-70b