# Can I run Phi-3.5-mini 3.8B on Nvidia GeForce RTX 5090 (32GB)?

> **Yes, it runs.** Runs at Q4_K_M using ~3.7 GB of ~31 GB usable. You have room for FP16 for higher quality.

Last validated: 2026-06-15.

## Memory math
- Phi-3.5-mini 3.8B: 3.82B; Q4_K_M weighs 2.39 GB on disk.
- At Q4_K_M with a 4k context it needs ~3.7 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Nvidia GeForce RTX 5090 (32GB): 32 GB vram, ~31 GB usable for model weights.
- Headroom: ~27.3 GB; it also fits FP16 for higher quality.

## How to run
Recommended quant: Q4_K_M. Best tool on Windows: LM Studio.

```sh
ollama run phi3.5:3.8b
```

## Run Phi-3.5-mini 3.8B on other devices
- [Apple M1 (8GB)](https://localmodel.run/can-i-run/phi-3.5-mini/apple-m1-8gb)
- [8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/phi-3.5-mini/laptop-8gb)
- [iPhone 15 Pro](https://localmodel.run/can-i-run/phi-3.5-mini/iphone-15-pro)
- [iPhone 16](https://localmodel.run/can-i-run/phi-3.5-mini/iphone-16)
- [iPhone 16 Pro](https://localmodel.run/can-i-run/phi-3.5-mini/iphone-16-pro)
- [Generic Android Phone (8GB RAM)](https://localmodel.run/can-i-run/phi-3.5-mini/android-generic-8gb)

## Other models that run on Nvidia GeForce RTX 5090 (32GB)
- [Mixtral 8x7B (46.7B)](https://localmodel.run/can-i-run/mixtral-8x7b/nvidia-rtx-5090-32gb)
- [Command R 35B (35B)](https://localmodel.run/can-i-run/command-r-35b/nvidia-rtx-5090-32gb)
- [Yi 1.5 34B (34B)](https://localmodel.run/can-i-run/yi-1.5-34b/nvidia-rtx-5090-32gb)
- [Qwen2.5 32B (32B)](https://localmodel.run/can-i-run/qwen2.5-32b/nvidia-rtx-5090-32gb)
- [Qwen3 32B (32B)](https://localmodel.run/can-i-run/qwen3-32b/nvidia-rtx-5090-32gb)
- [DeepSeek-R1-Distill-Qwen 32B (32B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-32b/nvidia-rtx-5090-32gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/phi3.5:3.8b, https://huggingface.co/bartowski/Phi-3.5-mini-instruct-GGUF, https://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/, https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/discover-the-new-multi-lingual-high-quality-phi-3-5-slms/4225280.
More: https://localmodel.run/can-i-run/phi-3.5-mini/nvidia-rtx-5090-32gb