Q4_K_M
17.5 GBMin VRAM: 20.1 GB
Recommended VRAM: 22.8 GB
Min RAM: 27 GB
Context: 8K / 8K
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29% of 430 scanned PCs run Qwen3.6 35B A3B fully on GPU.
239 keep at least some work on GPU. Based on anonymous compatibility checks.
General-purpose local model brief
Best for
Consider alternatives if
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.
New to local models? Smaller quantization variants are easier to run, while larger ones can improve quality at the cost of more memory.
Q4_K_M
17.5 GBMin VRAM: 20.1 GB
Recommended VRAM: 22.8 GB
Min RAM: 27 GB
Context: 8K / 8K
Q5_K_M
21.9 GBMin VRAM: 25.2 GB
Recommended VRAM: 28.5 GB
Min RAM: 33 GB
Context: 8K / 8K
Q8_0
35 GBMin VRAM: 40.3 GB
Recommended VRAM: 45.5 GB
Min RAM: 53 GB
Context: 8K / 8K
FP16
70 GBMin VRAM: 80.5 GB
Recommended VRAM: 91 GB
Min RAM: 105 GB
Context: 8K / 8K
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_M | 17.5 GB | 20.1 GB | 22.8 GB | 27 GB | 8K / 8K |
| Q5_K_M | 21.9 GB | 25.2 GB | 28.5 GB | 33 GB | 8K / 8K |
| Q8_0 | 35 GB | 40.3 GB | 45.5 GB | 53 GB | 8K / 8K |
| FP16 | 70 GB | 80.5 GB | 91 GB | 105 GB | 8K / 8K |
These GPUs meet the recommended 22.8 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Budget Pick
NVIDIA GeForce RTX 409024 GB VRAM · ~46.1 tok/s
Lowest cost that meets recommended VRAM
Rent on RunPodFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~81.9 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3090 Ti24 GB VRAM · ~46.1 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Qwen3.6 35B A3B.