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Run LLM Locally

Qwen3 0.6B on the Radeon PRO W7900

With 48 GB of VRAM, the Radeon PRO W7900 runs Qwen3 0.6B at Q4_K_M entirely on the GPU with an 8K context (about 2.4 GB needed). At Q8_0 it fits entirely.

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Qwen3 0.6B

Q4_K_M · 8K context

Excellent

The model needs about 2.4 GB and fits in the 46.6 GB available, with 44.1 GB to spare.

Your hardware
Radeon PRO W7900 48 GB · 64 GB RAM
Estimated memory
~2.4 GB estimate
VRAM (usable memory)
46.6 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
229–437 tok/s estimate
Largest context in fast memory
32K tokens
Confidence: low

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

Memory breakdown

~2.4 GB (2.1 GB–2.8 GB) needed · estimate

Fits entirely in VRAM · 44.1 GB left

  • Model weights0.5 GB
  • KV cache0.9 GB
  • Runtime overhead0.8 GB
  • Safety margin0.3 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 0.6B on Radeon PRO W7900 + 64 GB RAM · 8K context
Qwen3 0.6B Q8_08K~2.6 GB · 217–403 tok/s estimateExcellent
Qwen3 0.6B Q6_K8K~2.6 GB · 218–407 tok/s estimateExcellent
Qwen3 0.6B Q5_K_M8K~2.5 GB · 224–422 tok/s estimateExcellent
Qwen3 0.6B Q4_K_M8K~2.4 GB · 229–437 tok/s estimateExcellent
Qwen3 0.6B IQ4_XS8K~2.4 GB · 232–445 tok/s estimateExcellent
Qwen3 0.6B Q3_K_M8K~2.4 GB · 236–454 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3 0.6B 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 0.6B 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 0.6B?
The model needs about 2.4 GB and fits in the 46.6 GB available, with 44.1 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. ~2.6 GB / 46.6 GB.
What is the largest context on the Radeon PRO W7900?
At Q4_K_M, about 32K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3 0.6B (Radeon PRO W7900)?
We estimate 229–437 tok/s (estimate, confidence low). Based on: memory bandwidth (864 GB/s) and model size.