QwenQwQ 32B Preview on NVIDIA GeForce RTX 4070 Ti 12GB
RTX 4070 Ti 12GB cannot run QwQ 32B Preview. 12 GB VRAM is insufficient at any quantization level.
Model Size
32.5B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for QwQ 32B Preview on NVIDIA GeForce RTX 4070 Ti 12GB at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Requires 24GB+ for viable quality.
About QwQ 32B Preview
QwQ 32B Preview (32.5B) is a reasoning, coding, ai coding, ai building model. Reasoning-focused model that uses chain-of-thought natively. Builders pair this with a coding model for complex architecture decisions. Approaches o1-mini on reasoning benchmarks. Same size as Qwen 2.5 Coder 32B, so they compete for VRAM; run one at a time, not concurrently.
View all QwQ 32B Preview hardware options →About NVIDIA GeForce RTX 4070 Ti 12GB
NVIDIA GeForce RTX 4070 Ti 12GB has 12 GB at 504 GB/s. Street price: $749.
See all models NVIDIA GeForce RTX 4070 Ti 12GB can run →Estimate method: 32.76B model exceeds 12GB. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.