Can I Run Yi 1.5 34B Chat on NVIDIA GeForce RTX 5060 Ti 8GB?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
No. Yi 1.5 34B Chat needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 5060 Ti 8GB has only 8 GB. No quantization we publish closes a gap that size.
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The numbers
| Model | Yi 1.5 34B Chat |
| Parameters | 34B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 23.6 GB |
| NVIDIA GeForce RTX 5060 Ti 8GB VRAM | 8 GB |
| Verdict | Does not fit |
Yi 1.5 34B Chat on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — |
| Q8_0 | 39.4 GB | ✗ No | — | — |
| Q6_K | 31 GB | ✗ No | — | — |
| Q5_K_M | 27.2 GB | ✗ No | — | — |
| Q4_K_M | 23.6 GB | ✗ No | — | — |
| Q3_K_M | 17.5 GB | ✗ No | — | — |
| Q2_K | 14.1 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060 Ti 8GB: 8K 23.6 GB ✗ · 31K 29.4 GB ✗. Past 8K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Either step down to a smaller size in this family, or move to a NVIDIA GeForce RTX 5090 Laptop GPU (24 GB), the card with the least memory we track that holds it.
No compatible GPU? Yi 1.5 34B Chat on 32 GB of system RAM, CPU only: runs comfortably.
Yi 1.5 34B Chat needs ~24 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Yi 1.5 Family sizes on the NVIDIA GeForce RTX 5060 Ti 8GB
- Yi 1.5 9B Chat — runs (6.9 GB)
Yi 1.5 34B Chat on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — does not fit
All Yi 1.5 Family sizes on the NVIDIA GeForce RTX 5060 Ti 8GB | Yi 1.5 34B Chat model page | NVIDIA GeForce RTX 5060 Ti 8GB GPU page | VRAM calculator | Check your hardware