Can I Run Yi 1.5 Family on NVIDIA RTX 6000 Ada Generation?
Written by Jakub Rusinowski · Last updated July 21, 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 ~24.4 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~37 tok/s (est.), with room for up to 16K context.
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NVIDIA RTX 6000 Ada Generation Specs
| VRAM | 48 GB |
| Memory Bandwidth | 960 GB/s |
Yi 1.5 34B Chat on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — |
| Q8_0 | 39.4 GB | ✓ Yes | 16K | — |
| Q6_K | 31 GB | ✓ Yes | 16K | — |
| 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 48 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 RTX 6000 Ada Generation: 8K 23.6 GB · 31K 29.4 GB. Every window this model publishes still fits 48 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 RTX 6000 Ada Generation (at 8K context)
| Yi 1.5 34B Chat | Q4_K_M · 23.6 GB at 8K context · ~37 tok/s (est.) |
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~115 tok/s (est.) |
At 2 hrs/day, buying (~$6,799) beats renting at $0.34/hr after about 27.8 years.
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FAQ
Can I run Yi 1.5 Family on the NVIDIA RTX 6000 Ada Generation?
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 ~24.4 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~37 tok/s (est.), with room for up to 16K context.
What's the best Yi 1.5 Family size for the NVIDIA RTX 6000 Ada Generation?
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 ~37 tokens/sec, up to 16K context.
Every Yi 1.5 Family size on the NVIDIA RTX 6000 Ada Generation
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Runs | ~37 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~115 tok/s |
Yi 1.5 Family on Other GPUs
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- Yi 1.5 Family on Apple M3 Pro
- Yi 1.5 Family on NVIDIA GeForce RTX 5090
- Yi 1.5 Family on Apple M4
- Yi 1.5 Family on Apple M2 Pro
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