Can I Run / Qwen 3.5 4B / on NVIDIA RTX 3070 Ti
Can I Run Qwen 3.5 4B on a NVIDIA RTX 3070 Ti?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
4.0B
GPU memory
8.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 8.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 5.3 GB | 6.8 GB | 4.3 GB | +2.8 GB |
| Q6_K | 4.3 GB | 5.8 GB | 3.3 GB | +3.7 GB |
| Q5_K_M | 3.8 GB | 5.3 GB | 2.8 GB | +4.2 GB |
| Q4_K_M | 3.4 GB | 4.9 GB | 2.4 GB | +4.6 GB |
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Full model details
Qwen 3.5 4B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA RTX 3070 Ti →
Top-ranked open-source models that fit in 8.0GB.
FAQ
Can the NVIDIA RTX 3070 Ti run Qwen 3.5 4B?
Yes. The NVIDIA RTX 3070 Ti's 8.0GB of VRAM is enough to run Qwen 3.5 4B at Q8_0 quantization (5.3GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 8.0GB. It uses about 5.3GB of memory and 6.8GB 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.