text model · Llama · Windows
Can I run Llama 3.3 70B on AMD Radeon RX 7900 XTX (24GB)?
No. Llama 3.3 70B needs ~45.3 GB even at Q4_K_M, but AMD Radeon RX 7900 XTX (24GB) only has ~23 GB usable.
Needs ~45.3 GB even at Q4_K_M, but only ~23 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 22.3 GB: Llama 3.3 70B needs roughly 45.3 GB at Q4_K_M and AMD Radeon RX 7900 XTX (24GB) leaves only about 23 GB usable for a model. The lightest tracked hardware that runs Llama 3.3 70B is the Apple M4 Max (64GB) at 64 GB. See Llama 3.3 70B on Apple M4 Max (64GB).
Too big for AMD Radeon RX 7900 XTX (24GB)'s VRAM, but you could offload some layers to system RAM and still run it at roughly ~1 tok/s, far slower than a model that fits. How this is estimated.
- Q4_K_M needed
- ~45.3 GB
- Usable on device
- ~23 GB
- Device memory
- 24 GB
Which quant fits
- Parameters
- 70B
- Q4_K_M size
- 42.52 GB
- Q8_0 size
- 74.98 GB
- Context
- 128k
- Ollama tag
- llama3.3:70b
- Memory
- 24 GB vram
- Usable for weights
- ~23 GB
- Power draw
- ~355 W
- Best runtime
- Ollama (ROCm) / llama.cpp ROCm (Linux)
What you can run instead
Run Llama 3.3 70B on other hardware
FAQ
Can AMD Radeon RX 7900 XTX (24GB) run Llama 3.3 70B?
No. Llama 3.3 70B needs ~45.3 GB even at Q4_K_M, but AMD Radeon RX 7900 XTX (24GB) only has ~23 GB usable.
How much memory does Llama 3.3 70B need?
AMD Radeon RX 7900 XTX (24GB) does not have enough memory. At Q4_K_M the weights are ~42.52 GB; with KV cache and runtime overhead, budget ~45.3 GB at a 4k context.
What is the best tool to run Llama 3.3 70B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Embed this
[](https://localmodel.run/can-i-run/llama-3.3-70b/amd-rx-7900-xtx-24gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.