Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 3090?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, but it's tight — 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 ~0.4 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~25 tok/s (est.), with room for up to 8K context.
See what else this hardware can run →
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NVIDIA GeForce RTX 3090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
Yi 1.5 34B Chat on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 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 | ✓ Yes | 8K | — |
| 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 24 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 3090: 8K 23.6 GB · 31K 29.4 GB ✗. Past 31K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
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 3090 (at 8K context)
| Yi 1.5 34B Chat | Q4_K_M · 23.6 GB at 8K context · ~25 tok/s (est.) |
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~83 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 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
Can I run Yi 1.5 Family on the NVIDIA GeForce RTX 3090?
Yes, but it's tight — 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 ~0.4 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~25 tok/s (est.), with room for up to 8K context.
What's the best Yi 1.5 Family size for the NVIDIA GeForce RTX 3090?
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 ~25 tokens/sec, up to 8K context.
Every Yi 1.5 Family size on the NVIDIA GeForce RTX 3090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Runs | ~25 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~83 tok/s |
Yi 1.5 Family on Other GPUs
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Yi 1.5 Family Model Page | NVIDIA GeForce RTX 3090 GPU Page | VRAM calculator | Check Your Hardware