Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~8.4 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~60 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Yi 1.5 34B Chat on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — |
| Q8_0 | 39.4 GB | ✗ No | — | — |
| Q6_K | 31 GB | ✓ Yes | 8K | — |
| Q5_K_M | 27.2 GB | ✓ Yes | 16K | — |
| Q4_K_M | 23.6 GB | ✓ Yes | 16K | — |
| Q3_K_M | 17.5 GB | ✓ Yes | 16K | — |
| Q2_K | 14.1 GB | ✓ Yes | 16K | — |
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 32 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 5090: 8K 23.6 GB · 31K 29.4 GB. Every window this model publishes still fits 32 GB.
No compatible GPU? Yi 1.5 34B Chat on 32 GB of system RAM, CPU only: runs comfortably.
Yi 1.5 Family Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)
| Yi 1.5 34B Chat | Q4_K_M · 23.6 GB at 8K context · ~60 tok/s (est.) |
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~166 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 5090 have enough VRAM for Yi 1.5 Family?
Yes, comfortably — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~8.4 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~60 tok/s (est.), with room for up to 16K context.
Which quantization of Yi 1.5 Family should I use on the NVIDIA GeForce RTX 5090?
Yi 1.5 34B Chat at Q4_K_M quantization needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), estimated ~60 tokens/sec, up to 16K context.
Every Yi 1.5 Family size on the NVIDIA GeForce RTX 5090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Runs | ~60 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~166 tok/s |
Yi 1.5 Family on Other GPUs
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- Yi 1.5 Family on Apple M3 Pro
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