Skip to content
Run LLM Locally

Qwen3.6 35B-A3B on the RX 7900 XT

Qwen3.6 35B-A3B at Q4_K_M needs about 23.1 GB, more than the 20 GB of the RX 7900 XT: part of the model runs from system RAM, which slows generation. At Q3_K_M it fits entirely.

Qwen3.6 35B-A3B

Q4_K_M · 8K context

CPU/GPU offload

The model needs about 23.1 GB but only 19.4 GB of VRAM is usable: 3.7 GB must be loaded into system RAM. It runs, 84% on the GPU, but more slowly.

Your hardware
RX 7900 XT 20 GB · 64 GB RAM
Estimated memory
~23.1 GB estimate
VRAM (usable memory)
19.4 GB
GPU only
No
CPU/GPU offload
Required (3.7 GB)
Generation speed
35–73 tok/s estimate
Largest context in fast memory
None
Confidence: low

Based on: memory bandwidth (800 GB/s) and model size · system RAM bandwidth (~51 GB/s)

Memory breakdown

~23.1 GB (22.2 GB–23.9 GB) needed · estimate

3.7 GB must be offloaded to system RAM

  • Model weights20.8 GB
  • KV cache0.2 GB
  • Runtime overhead1 GB
  • Safety margin1.1 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (ROCm) · flash attention on · weights = real file size

EstimateData updated 40 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
  • split CPU/GPU runs vary a lot with the CPU and PCIe link
  • system RAM speed unknown (dual-channel DDR4-3200 assumed)
  • mixture-of-experts: speed depends on expert routing

Other quantizations on the RX 7900 XT

Qwen3.6 35B-A3B on RX 7900 XT + 64 GB RAM · 8K context
Qwen3.6 35B-A3B Q8_08K~38.3 GB · 11–21 tok/s estimateCPU/GPU offload
Qwen3.6 35B-A3B Q6_K8K~31.5 GB · 16–31 tok/s estimateCPU/GPU offload
Qwen3.6 35B-A3B Q5_K_M8K~26.6 GB · 23–46 tok/s estimateCPU/GPU offload
Qwen3.6 35B-A3B Q4_K_M8K~23.1 GB · 35–73 tok/s estimateCPU/GPU offload
Qwen3.6 35B-A3B IQ4_XS8K~20.5 GB · 56–123 tok/s estimateCPU/GPU offload
Qwen3.6 35B-A3B Q3_K_M8K~18 GB · 100–186 tok/s estimateCompatible

Alternatives

Hardware that runs Qwen3.6 35B-A3B Q4_K_M entirely in memory

Prices and links follow the market you choose.

GeForce RTX 5090

NVIDIA

ExcellentRuns Qwen3.6 35B-A3B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

Radeon PRO W7900

AMD

ExcellentRuns Qwen3.6 35B-A3B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

MacBook Pro 14 M3 Pro

Apple Silicon

CompatibleRuns Qwen3.6 35B-A3B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

AMD Ryzen AI Max+ 395

Unified memory PC

CompatibleRuns Qwen3.6 35B-A3B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

No current offer imported for this market: the link opens a marketplace search.

Frequently asked questions

Can the RX 7900 XT run Qwen3.6 35B-A3B?
The model needs about 23.1 GB but only 19.4 GB of VRAM is usable: 3.7 GB must be loaded into system RAM. It runs, 84% on the GPU, but more slowly.
Which quantization should I use on the RX 7900 XT?
Q3_K_M is the highest-precision quantization that fits entirely in VRAM at 8K context. ~18 GB / 19.4 GB.
What is the largest context on the RX 7900 XT?
At Q4_K_M, the model does not fit entirely in VRAM even at a short context.
How fast is Qwen3.6 35B-A3B (RX 7900 XT)?
We estimate 35–73 tok/s (estimate, confidence low). Based on: memory bandwidth (800 GB/s) and model size, system RAM bandwidth (~51 GB/s).