Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 4060?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~1.1 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~40 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 4060 Specs
| VRAM | 8 GB |
| Memory Bandwidth | 272 GB/s |
Yi 1.5 9B Chat on the NVIDIA GeForce RTX 4060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 19.3 GB | ✗ No | — | — |
| Q8_0 | 11 GB | ✗ No | — | — |
| Q6_K | 8.8 GB | ✗ No | — | — |
| Q5_K_M | 7.9 GB | ✓ Yes | 8K | — |
| Q4_K_M | 6.9 GB | ✓ Yes | 16K | — |
| Q3_K_M | 5.4 GB | ✓ Yes | 16K | — |
| Q2_K | 4.5 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 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 4060: 8K 6.9 GB · 31K 9.3 GB ✗. Past 31K it no longer fits 8 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 9B Chat on 8 GB of system RAM, CPU only: runs.
Yi 1.5 Family Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~40 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
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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
Yi 1.5 Family on the NVIDIA GeForce RTX 4060 — does it fit?
Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~1.1 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~40 tok/s (est.), with room for up to 16K context.
Which Yi 1.5 Family variant fits best on the NVIDIA GeForce RTX 4060?
Yi 1.5 9B Chat at Q4_K_M quantization needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), estimated ~40 tokens/sec, up to 16K context.
Every Yi 1.5 Family size on the NVIDIA GeForce RTX 4060
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Does not fit | — |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~40 tok/s |
Yi 1.5 Family on Other GPUs
- Yi 1.5 Family on NVIDIA GeForce RTX 5060 Ti 8GB
- Yi 1.5 Family on NVIDIA GeForce RTX 5060
- Yi 1.5 Family on NVIDIA GeForce RTX 3070 Ti
- Yi 1.5 Family on NVIDIA GeForce RTX 3070
- Yi 1.5 Family on AMD Radeon RX 9060 XT 8GB
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VRAM Tier
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