01 AI Yi 1 5 34B Chat speed on RTX 4060 Ti 8GB and quantization-level VRAM fit.
RTX 4060 Ti 8GB does not meet the minimum VRAM requirement for Q4 inference of 01 AI Yi 1 5 34B Chat. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 8GB lacks sufficient VRAM for comfortable 01 AI Yi 1 5 34B Chat operation with Q4 quantization.
Your 8GB GPU is 10GB short of the 18GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 18GB | 8GB | 17.68 tok/s | ❌ Not recommended |
| Q8 | 35GB | 8GB | 12.38 tok/s | ❌ Not recommended |
| FP16 | 69GB | 8GB | 6.72 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4060 Ti 8GB and similar cards.
Open RTX 4060 Ti 8GB buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Your GPU doesn't meet the VRAM requirements. Run 01 AI Yi 1 5 34B Chat on cloud GPU instantly.
RTX 4060 Ti 8GB is not a comfortable Q4 fit for 01 AI Yi 1 5 34B Chat (about 18GB needed).
Q4 inference is estimated to need about 18GB VRAM on this page, while RTX 4060 Ti 8GB has 8GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.