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Run LLM Locally

Qwen3 14B on the Radeon PRO W7900

With 48 GB of VRAM, the Radeon PRO W7900 runs Qwen3 14B at Q4_K_M entirely on the GPU with an 8K context (about 11 GB needed). At Q8_0 it fits entirely.

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Qwen3 14B

Q4_K_M · 8K context

Excellent

The model needs about 11 GB and fits in the 46.6 GB available, with 35.5 GB to spare.

Your hardware
Radeon PRO W7900 48 GB · 64 GB RAM
Estimated memory
~11 GB estimate
VRAM (usable memory)
46.6 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
51–74 tok/s estimate
Largest context in fast memory
128K tokens
Confidence: low

Based on: memory bandwidth (864 GB/s) and model size

Memory breakdown

~11 GB (10.5 GB–11.6 GB) needed · estimate

Fits entirely in VRAM · 35.5 GB left

  • Model weights8.4 GB
  • KV cache1.3 GB
  • Runtime overhead0.9 GB
  • Safety margin0.5 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

Other quantizations on the Radeon PRO W7900

Qwen3 14B on Radeon PRO W7900 + 64 GB RAM · 8K context
Qwen3 14B Q8_08K~17.6 GB · 33–46 tok/s estimateExcellent
Qwen3 14B Q6_K8K~14.1 GB · 40–58 tok/s estimateExcellent
Qwen3 14B Q5_K_M8K~12.5 GB · 45–65 tok/s estimateExcellent
Qwen3 14B Q4_K_M8K~11 GB · 51–74 tok/s estimateExcellent
Qwen3 14B IQ4_XS8K~10.2 GB · 55–81 tok/s estimateExcellent
Qwen3 14B Q3_K_M8K~9.4 GB · 59–88 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 14B Q4_K_M entirely in VRAM

Other models that fit the Radeon PRO W7900

Where to buy a Radeon PRO W7900

Prices and links follow the market you choose.

Radeon PRO W7900

48 GB GDDR6 ECC · 864 GB/s · 295 W

ExcellentRuns Qwen3 14B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the Radeon PRO W7900 run Qwen3 14B?
The model needs about 11 GB and fits in the 46.6 GB available, with 35.5 GB to spare.
Which quantization should I use on the Radeon PRO W7900?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~17.6 GB / 46.6 GB.
What is the largest context on the Radeon PRO W7900?
At Q4_K_M, about 128K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3 14B (Radeon PRO W7900)?
We estimate 51–74 tok/s (estimate, confidence low). Based on: memory bandwidth (864 GB/s) and model size.