Yi 1.5 34B Chat — VRAM Requirements
作者： Jakub Rusinowski · 最后更新： 2026年7月21日
How much GPU VRAM you need to run Yi 1.5 Family Yi 1.5 34B Chat by 01.AI locally, a 34B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Yi 1.5 34B Chat needs about 21 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 11.2 GB | 12.0 GB |
| Q3_K_M | 3.41 | 14.5 GB | 15.3 GB |
| Q4_K_M | 4.83 | 20.5 GB | 21.3 GB |
| Q5_K_M | 5.67 | 24.1 GB | 24.9 GB |
| Q6_K | 6.56 | 27.9 GB | 28.7 GB |
| Q8_0 | 8.50 | 36.1 GB | 36.9 GB |
| F16 | 16.00 | 68.0 GB | 68.8 GB |
Switch quantization in the interactive calculator, or see the full Yi 1.5 Family model page.
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Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/yi-1.5-34b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.