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text model · DeepSeek-R1 · Windows

Can I run DeepSeek-R1-0528 on AMD Radeon RX 7900 XTX (24GB)?

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

No. DeepSeek-R1-0528 needs ~384.1 GB even at Q4_K_M, but AMD Radeon RX 7900 XTX (24GB) only has ~23 GB usable.

Needs ~384.1 GB Device usable ~23 GB

Needs ~384.1 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 361.1 GB: DeepSeek-R1-0528 needs roughly 384.1 GB at Q4_K_M and AMD Radeon RX 7900 XTX (24GB) leaves only about 23 GB usable for a model. No single tracked device has enough memory; DeepSeek-R1-0528 needs a multi-GPU or high-memory rig.

Q4_K_M needed
~384.1 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
~288 GB
Q3_K_M
~335 GB
Q4_K_M
~384.1 GB
Q5_K_M
~485.1 GB
Q6_K
~557.2 GB
Q8_0
~671.3 GB
FP16
~1355 GB
The line marks AMD Radeon RX 7900 XTX (24GB)'s ~23 GB budget; rungs past it are too large.
Model DeepSeek-R1
Parameters
671B (MoE, 37B active)
Q4_K_M size
377.13 GB
Q8_0 size
664.3 GB
Context
160k
Ollama tag
deepseek-r1:671b
Full DeepSeek-R1-0528 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

FAQ

Can AMD Radeon RX 7900 XTX (24GB) run DeepSeek-R1-0528?

No. DeepSeek-R1-0528 needs ~384.1 GB even at Q4_K_M, but AMD Radeon RX 7900 XTX (24GB) only has ~23 GB usable.

How much memory does DeepSeek-R1-0528 need?

AMD Radeon RX 7900 XTX (24GB) does not have enough memory. At Q4_K_M the weights are ~377.13 GB; with KV cache and runtime overhead, budget ~384.1 GB at a 4k context. It is a Mixture-of-Experts model (671B total / 37B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run DeepSeek-R1-0528 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.