L
localai.computer
ModelsGPUsSystemsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds
  • AI News

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2026 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can RTX 5080 run Microsoft Phi 3.5 Mini Instruct?

Microsoft Phi 3.5 Mini Instruct speed on RTX 5080 and quantization-level VRAM fit.

Runs Q416GB VRAM availableRequires 2GB+

RTX 5080 meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 3.5 Mini Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

Buy options for RTX 5080Best GPU guidesCompare prebuilt systems
Short answer: RTX 5080 can run Microsoft Phi 3.5 Mini Instruct at Q4 with an estimated 190 tok/s.
Estimated speed
190 tok/s
VRAM needed
2GB
VRAM headroom
+14GB

What this means for you

RTX 5080 can run Microsoft Phi 3.5 Mini Instruct with Q4 quantization. At approximately 190 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 14GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB16GB189.72 tok/s✅ Fits comfortably
Q83GB16GB132.81 tok/s✅ Fits comfortably
FP166GB16GB72.09 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
915.91 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 3.5 Mini Instruct on AMD Instinct MI300X
NVIDIA H200 SXM 141GB
141GB
827.12 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 3.5 Mini Instruct on NVIDIA H200 SXM 141GB
NVIDIA H100 SXM5 80GB
80GB
594.08 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 3.5 Mini Instruct on NVIDIA H100 SXM5 80GB
AMD Instinct MI250X
128GB
573.07 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 3.5 Mini Instruct on AMD Instinct MI250X
NVIDIA H100 PCIe 80GB
80GB
377.12 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 3.5 Mini Instruct on NVIDIA H100 PCIe 80GB

Compare purchase paths

Direct GPU buy options

Check current pricing links for RTX 5080 and similar cards.

Open RTX 5080 buy links →
Curated best GPU guides

Use workload-focused recommendations before committing to a purchase.

Browse best GPU guides →
Prebuilt AI systems

Compare complete systems if you want ready-to-run hardware.

Compare prebuilt systems →

More questions

RTX 5080 buy options & pricingFull guide for Microsoft Phi 3.5 Mini InstructBest GPU guides for this modelCompare prebuilt local AI systemsBrowse all model + GPU compatibility checksMicrosoft Phi 3.5 Mini Instruct Q4 requirementsMicrosoft Phi 3.5 Mini Instruct Q4_K_M requirementsCan AMD Instinct MI300X run Microsoft Phi 3.5 Mini Instruct?Can NVIDIA H200 SXM 141GB run Microsoft Phi 3.5 Mini Instruct?Can NVIDIA H100 SXM5 80GB run Microsoft Phi 3.5 Mini Instruct?microsoft phi 3.5 mini instruct speed on rtx 4070 super

Compatibility FAQ

Can RTX 5080 run Microsoft Phi 3.5 Mini Instruct?

RTX 5080 can run Microsoft Phi 3.5 Mini Instruct at Q4 with an estimated 190 tok/s.

How much VRAM is needed for Microsoft Phi 3.5 Mini Instruct on RTX 5080?

Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 5080 has 16GB available.

What if RTX 5080 is not enough for Microsoft Phi 3.5 Mini Instruct?

If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.