Q4_K_M
16 GBMin VRAM: 18.4 GB
Recommended VRAM: 20.8 GB
Min RAM: 24 GB
Context: 8K / 8K
Loading model details...
Fetching variants, compatibility details, and metadata.
Loading model details...
Fetching variants, compatibility details, and metadata.
Share Qwen3 32B with someone who is deciding what to run locally.
Social proof
32% of 991 scanned PCs run Qwen3 32B fully on GPU.
590 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
16 GBMin VRAM: 18.4 GB
Recommended VRAM: 20.8 GB
Min RAM: 24 GB
Context: 8K / 8K
Q5_K_M
20 GBMin VRAM: 23 GB
Recommended VRAM: 26 GB
Min RAM: 30 GB
Context: 8K / 8K
Q8_0
32 GBMin VRAM: 36.8 GB
Recommended VRAM: 41.6 GB
Min RAM: 48 GB
Context: 8K / 8K
FP16
64 GBMin VRAM: 73.6 GB
Recommended VRAM: 83.2 GB
Min RAM: 96 GB
Context: 8K / 8K
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_M | 16 GB | 18.4 GB | 20.8 GB | 24 GB | 8K / 8K |
| Q5_K_M | 20 GB | 23 GB | 26 GB | 30 GB | 8K / 8K |
| Q8_0 | 32 GB | 36.8 GB | 41.6 GB | 48 GB | 8K / 8K |
| FP16 | 64 GB | 73.6 GB | 83.2 GB | 96 GB | 8K / 8K |
These GPUs meet the recommended 20.8 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 · ~50.4 tok/s
Lowest cost that meets recommended VRAM
Rent on RunPodFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~89.6 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3090 Ti24 GB VRAM · ~50.4 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Qwen3 32B.