Yi 1.5 34B Chat — VRAM Requirements
Written by Jakub Rusinowski · Last updated May 13, 2024
How much GPU VRAM you need to run Yi 1.5 Family Yi 1.5 34B Chat by 01.AI locally, a 34.4B-parameter model. Figures are quantized weights + KV cache + framework overhead, computed from the model's parameter count and published architecture — not a throughput model. See /en/methodology.
Yi 1.5 34B Chat needs about 24 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 11.3 GB | 14.1 GB |
| Q3_K_M | 3.41 | 14.7 GB | 17.5 GB |
| Q4_K_M | 4.83 | 20.8 GB | 23.6 GB |
| Q5_K_M | 5.67 | 24.4 GB | 27.2 GB |
| Q6_K | 6.56 | 28.2 GB | 31.0 GB |
| Q8_0 | 8.50 | 36.5 GB | 39.4 GB |
| F16 | 16.00 | 68.8 GB | 71.6 GB |
Switch quantization in the interactive calculator, or see the full Yi 1.5 Family model page.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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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?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=yi-1.5-34b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.