Can I Run Phi 3.5 Family on NVIDIA GeForce RTX 4060?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Phi 3.5 Mini at Q4_K_M needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), leaving ~4.1 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~77 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 4060 Specs
| VRAM | 8 GB |
| Memory Bandwidth | 272 GB/s |
Phi 3.5 Mini on the NVIDIA GeForce RTX 4060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 9.2 GB | ✗ No | — | — |
| Q8_0 | 5.6 GB | ✓ Yes | 16K | — |
| Q6_K | 4.7 GB | ✓ Yes | 32K | — |
| Q5_K_M | 4.3 GB | ✓ Yes | 32K | — |
| Q4_K_M | 3.9 GB | ✓ Yes | 32K | — |
| Q3_K_M | 3.2 GB | ✓ Yes | 32K | — |
| Q2_K | 2.9 GB | ✓ Yes | 32K | — |
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 3.9 GB · 32K 6.3 GB · 128K 16 GB ✗. Past 128K 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? Phi 3.5 Mini on 8 GB of system RAM, CPU only: runs.
Phi 3.5 Family Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)
| Phi 3.5 Mini | Q4_K_M · 3.9 GB at 8K context · ~77 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
Does the NVIDIA GeForce RTX 4060 have enough VRAM for Phi 3.5 Family?
Yes, comfortably — Phi 3.5 Mini at Q4_K_M needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), leaving ~4.1 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~77 tok/s (est.), with room for up to 32K context.
Which quantization of Phi 3.5 Family should I use on the NVIDIA GeForce RTX 4060?
Phi 3.5 Mini at Q4_K_M quantization needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), estimated ~77 tokens/sec, up to 32K context.
Phi 3.5 Family on Other GPUs
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VRAM Tier
Troubleshooting
Buying Guide
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