Can I Run Qwen 3.6 35B A3B on a NVIDIA RTX 3090 Ti?
Runs at Q4_K_M — good quality with reasonable headroom.
1 quant fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 22.2 GB | 23.7 GB | 21.2 GB | +1.8 GB |
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FAQ
Can the NVIDIA RTX 3090 Ti run Qwen 3.6 35B A3B?
Yes. The NVIDIA RTX 3090 Ti's 24.0GB of VRAM is enough to run Qwen 3.6 35B A3B at Q4_K_M quantization (22.2GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 24.0GB. It uses about 22.2GB of memory and 23.7GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.