32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Phi-3.5 MoE at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
Phi-3.5 MoE
9 consumer GPUs can run Phi-3.5 MoE at Q4 natively. Precise VRAM thresholds and benchmarks below.
9 Compatible GPUs
19 with offloading
41.9B params
131K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 131K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Microsoft
LICENSE MIT
VRAM REQUIREMENT
21 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aHigh-end GPU (24 GB VRAM)
Compatible GPUs for Phi-3.5 MoE
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Phi-3.5 MoE at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Phi-3.5 MoE at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
Check if your GPU can run Phi-3.5 MoE →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 21 GB High-end GPU
System RAM 32 GB
32 GB recommended
Storage 21 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 84 GB | 84 GB | Maximum |
| Q8 (high quality) | 42 GB | 42 GB | Near-lossless |
| Q4 (recommended) Best balance | 21 GB | 21 GB | Recommended |
| Q2 (minimum) | 11 GB | 11 GB | Quality loss |
Model Details
| Developer | Microsoft |
| Parameters | 41.9B |
| Context window | 131,072 tokens |
| License | MIT |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2024-08 |
Install with Ollama
ollama run phi3.5-moe Hugging Face
microsoft/Phi-3.5-MoE-instruct Technical Requirements
Can your GPU run Phi-3.5 MoE?
Phi-3.5 MoE requires <strong class="text-primary-container">21 GB VRAM</strong> at Q4. 9 consumer GPUs meet this threshold. Below 8 GB or 19 GB you'll hit significant offload latency.
11GB Critical min
21GB Optimal Q4
42GB High Quality Q8
84GB Max FP16
Hardware Performance Matrix
9 Q4 native · 19 offload
Recommended GPUs for Phi-3.5 MoE
Benchmarks reais
Sem reviews pagas
Escolha editorial
Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Phi-3.5 MoE — Compatibility guide
Phi-3.5 MoE requires a high-end GPU like the RTX 4090 or a Mac with M2 Ultra or better. The Q4 version needs 21 GB VRAM. Check the VRAM calculator for your options.
Compare GPUs for Phi-3.5 MoE
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Phi-3.5 MoE at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
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Not sure which GPU you need for Phi-3.5 MoE?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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