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Can I run Llama 3.3 70B on AMD Radeon RX 7900 XTX (24GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

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 Device usable ~23 GB

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
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Which quant fits

Quant ladder vs ~23 GB usable
Q2_K
~32.1 GB
Q3_K_M
~37 GB
Q4_K_M
~45.3 GB
Q5_K_M
~52.7 GB
Q6_K
~60.2 GB
Q8_0
~77.8 GB
FP16
~142.8 GB
The line marks AMD Radeon RX 7900 XTX (24GB)'s ~23 GB budget; rungs past it are too large.
Model Llama
Parameters
70B
Q4_K_M size
42.52 GB
Q8_0 size
74.98 GB
Context
128k
Ollama tag
llama3.3:70b
Full Llama 3.3 70B requirements →
Device Windows
Memory
24 GB vram
Usable for weights
~23 GB
Power draw
~355 W
Best runtime
Ollama (ROCm) / llama.cpp ROCm (Linux)
Best models for AMD Radeon RX 7900 XTX (24GB) →

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.

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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.