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Run LLM Locally

Qwen3 30B-A3B on the RX 7900 XTX

With 24 GB of VRAM, the RX 7900 XTX runs Qwen3 30B-A3B at Q4_K_M entirely on the GPU with an 8K context (about 19.8 GB needed). At Q8_0 it does not fit in VRAM.

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Qwen3 30B-A3B

Q4_K_M · 8K context

Compatible

The model needs about 19.8 GB and fits in the 23.3 GB available (3.5 GB left).

Your hardware
RX 7900 XTX 24 GB · 64 GB RAM
Estimated memory
~19.8 GB estimate
VRAM (usable memory)
23.3 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
81–149 tok/s estimate
Largest context in fast memory
43K tokens
Confidence: low

Based on: memory bandwidth (960 GB/s) and model size

Memory breakdown

~19.8 GB (19.1 GB–20.5 GB) needed · estimate

Fits entirely in VRAM · 3.5 GB left

  • Model weights17.3 GB
  • KV cache0.8 GB
  • Runtime overhead0.8 GB
  • Safety margin0.9 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (ROCm) · flash attention on · weights = real file size

EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet
  • mixture-of-experts: speed depends on expert routing

Other quantizations on the RX 7900 XTX

Qwen3 30B-A3B on RX 7900 XTX + 64 GB RAM · 8K context
Qwen3 30B-A3B Q8_08K~33.4 GB · 13–26 tok/s estimateCPU/GPU offload
Qwen3 30B-A3B Q6_K8K~26.2 GB · 30–62 tok/s estimateCPU/GPU offload
Qwen3 30B-A3B Q5_K_M8K~22.9 GB · 77–139 tok/s estimateCompatible with limits
Qwen3 30B-A3B Q4_K_M8K~19.8 GB · 81–149 tok/s estimateCompatible
Qwen3 30B-A3B IQ4_XS8K~17.7 GB · 84–157 tok/s estimateExcellent
Qwen3 30B-A3B Q3_K_M8K~15.4 GB · 88–166 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 30B-A3B Q4_K_M entirely in VRAM

Other models that fit the RX 7900 XTX

Where to buy a RX 7900 XTX

Prices and links follow the market you choose.

Radeon RX 7900 XTX

24 GB GDDR6 · 960 GB/s · 355 W

CompatibleRuns Qwen3 30B-A3B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RX 7900 XTX run Qwen3 30B-A3B?
The model needs about 19.8 GB and fits in the 23.3 GB available (3.5 GB left).
Which quantization should I use on the RX 7900 XTX?
Q5_K_M is the highest-precision quantization that fits entirely in VRAM at 8K context. ~22.9 GB / 23.3 GB.
What is the largest context on the RX 7900 XTX?
At Q4_K_M, about 43K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3 30B-A3B (RX 7900 XTX)?
We estimate 81–149 tok/s (estimate, confidence low). Based on: memory bandwidth (960 GB/s) and model size.