Home/GPUs/NVIDIA GeForce RTX 5060 Ti 16GB/LM Studio
GPU × LM Studio model fit

Can NVIDIA GeForce RTX 5060 Ti 16GB run LM Studio models?

Compare Q4_K_M GGUF model files against this GPU's VRAM. This page checks GPU fit only; full LM Studio compatibility also requires a Windows x64 CPU with AVX2 support and appropriate system RAM.

VRAM

16 GB

Architecture

Blackwell

Acceleration

CUDA

CPU prerequisite

AVX2 required

Interactive GPU check

Try an LM Studio GGUF model

This checks GPU VRAM fit only. Full LM Studio compatibility also depends on the Windows x64 AVX2 CPU prerequisite and system RAM.

GPU fit

Good GPU fit

GGUF file

5.03 GB

Planning VRAM

~6.5 GB

What this means

  • The GPU has enough VRAM for the GGUF file plus the conservative planning headroom used by AIPCFit.
  • Actual LM Studio memory usage still depends on context length and load configuration.
  • LM Studio's own estimator should be used for an exact load-time estimate.
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Recorded GGUF variants

LM Studio model fit on 16 GB VRAM

Qwen3 4B · Q4_K_M

lmstudio-community/Qwen3-4B-GGUF

Good GPU fit

GGUF file

2.5 GB

Quantization

Q4_K_M

Planning VRAM

~4 GB

Qwen3 8B · Q4_K_M

lmstudio-community/Qwen3-8B-GGUF

Good GPU fit

GGUF file

5.03 GB

Quantization

Q4_K_M

Planning VRAM

~6.5 GB

Qwen3 14B · Q4_K_M

lmstudio-community/Qwen3-14B-GGUF

Good GPU fit

GGUF file

9 GB

Quantization

Q4_K_M

Planning VRAM

~11.3 GB

Gemma 3 4B · Q4_K_M

lmstudio-community/gemma-3-4b-it-GGUF

Good GPU fit

GGUF file

2.49 GB

Quantization

Q4_K_M

Planning VRAM

~4 GB

Gemma 3 12B · Q4_K_M

lmstudio-community/gemma-3-12b-it-GGUF

Good GPU fit

GGUF file

7.3 GB

Quantization

Q4_K_M

Planning VRAM

~9.1 GB

Gemma 3 27B · Q4_K_M

lmstudio-community/gemma-3-27b-it-GGUF

Partial GPU offload likely

GGUF file

16.5 GB

Quantization

Q4_K_M

Planning VRAM

~20.6 GB

GPU fit is not full compatibility

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LM Studio on Windows x64 also requires AVX2 CPU support. AIPCFit only marks that prerequisite verified when your selected CPU data records it.

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Evidence

Sources used for this page