MODEL ARCHITECTURE SPEC • MICROSOFT14.7B Dense
Microsoft Phi-4 14B VRAM & inference speed
14.7B Total ParamsDense Architecture40 Layers • 10 KV Heads16K Default Ctx (Max 128K)Ollama: phi4:14b
Accurate memory requirements, KV cache footprint, and tokens/sec generation benchmarks for running Microsoft Phi-4 14B across local GPUs, Apple Silicon Macs, and cloud instances.
⚡ TIGHT FIT13.24 GB (95%)~7 t/s
Microsoft Phi-4 14B on Apple MacBook Pro/Air (16GB Unified Memory)
⚡ Tight Fit — Runs 100% on GPU (Low Headroom)
⚡ TIGHT FIT
Required VRAM
13.24 GB
95% of hardware capacity (14 GB)Est. Decode Speed
~7 tok/s
Dense model @ 100 GB/sAvailable Headroom
+0.76 GB
Tight margin — close background appsMemory Allocation & Headroom
13.24 GB allocated of 14 GB capacity
95% utilized
Weights: 8.82 GB
KV: (32K): 3.36 GB
Overhead: 1.06 GB
Free Headroom: +0.76 GB
⚡ Architecture & Throughput Transparency: Single-user decode speed (~7 tok/s) is memory-bandwidth bound at batch size = 1 on Apple MacBook Pro/Air (16GB Unified Memory) (100 GB/s). Prompt prefill / TTFT (~102 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
Cloud Instance Options for Microsoft Phi-4 14B
On-DemandDeploy this model on an on-demand cloud GPU without local hardware constraints or power usage:
RunPod Cloud GPUsBest 1-Click Ollama & vLLM
$0.34/hr (RTX 4070 Ti) – $2.39/hr (H100)Vast.ai GPU MarketplaceCheapest Dual RTX 3090 / 4090
$0.18/hr (RTX 3060) – $0.55/hr (RTX 4090)Lambda GPU CloudEnterprise 8x H100 Clusters
$1.99/hr (GH200 / H100)Quantization Precision Matrix
32K ctx • KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 29.4 GB | 3.36 GB | 34.54 GB (247%) | 0 t/s | OOM |
| Q8_08.5 bpw | 15.58 GB | 3.36 GB | 20.24 GB (145%) | 0 t/s | OOM |
| Q6_K6.56 bpw | 12.05 GB | 3.36 GB | 16.58 GB (118%) | ~1 t/s | PARTIAL |
| Q5_K_M5.68 bpw | 10.44 GB | 3.36 GB | 14.92 GB (107%) | ~1 t/s | PARTIAL |
| Q4_K_M4.8 bpw | 8.82 GB | 3.36 GB | 13.24 GB (95%) | ~7 t/s | FITS |
| FP44.25 bpw | 7.79 GB | 3.36 GB | 12.17 GB (87%) | ~7 t/s | FITS |
| IQ3_XS3.3 bpw | 6.03 GB | 3.36 GB | 10.35 GB (74%) | ~9 t/s | FITS |
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Hardware Compatibility Matrix for Microsoft Phi-4 14B
Standard Q4_K_M precision with 32K context window and Q8_0 KV cache
| Hardware System | VRAM Envelope | Required VRAM | Headroom | Est. Decode Speed | Compatibility | Test Fit |
|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 (32GB GDDR7) Consumer GPU • 1792 GB/s | 32 GB | 13.24 GB | +18.76 GB | ~126 tok/s | ✓ FITS | Test Fit → |
| NVIDIA GeForce RTX 4090 (24GB GDDR6X) Consumer GPU • 1008 GB/s | 24 GB | 13.24 GB | +10.76 GB | ~71 tok/s | ✓ FITS | Test Fit → |
| 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM) Multi-GPU Rig • 936 GB/s | 48 GB | 13.24 GB | +34.76 GB | ~60 tok/s | ✓ FITS | Test Fit → |
| NVIDIA GeForce RTX 5080 (16GB GDDR7) Consumer GPU • 960 GB/s | 16 GB | 13.24 GB | +2.76 GB | ~68 tok/s | ✓ FITS | Test Fit → |
| NVIDIA RTX 4070 Ti Super (16GB) Consumer GPU • 672 GB/s | 16 GB | 13.24 GB | +2.76 GB | ~47 tok/s | ✓ FITS | Test Fit → |
| NVIDIA GeForce RTX 3060 (12GB) Consumer GPU • 360 GB/s | 12 GB | 13.24 GB | -1.24 GB | ~5 tok/s | ⚡ PARTIAL | Test Fit → |
| Apple MacBook Pro/Air M1 (8GB Unified Memory) Apple Silicon • 68 GB/s | 7 GB | 13.24 GB | -6.24 GB | 0 (OOM) | ✕ OOM | Test Fit → |
| Apple MacBook Pro/Air (16GB Unified Memory) Apple Silicon • 100 GB/s | 14 GB | 13.24 GB | +0.76 GB | ~7 tok/s | ⚡ TIGHT FIT | Test Fit → |
| Apple Mac Mini M4 Pro (64GB Unified Memory) Apple Silicon • 273 GB/s | 54 GB | 13.24 GB | +40.76 GB | ~18 tok/s | ✓ FITS | Test Fit → |
| Apple Mac Studio M4 Max (128GB Unified Memory) Apple Silicon • 546 GB/s | 112 GB | 13.24 GB | +98.76 GB | ~36 tok/s | ✓ FITS | Test Fit → |
| Apple Mac Studio M5 Ultra (256GB Unified Memory) Apple Silicon • 890 GB/s | 236 GB | 13.24 GB | +222.76 GB | ~59 tok/s | ✓ FITS | Test Fit → |
| AMD Strix Halo Mini-PC (Ryzen AI Max+ 395 128GB) Unified APU / Mini-PC • 256 GB/s | 110 GB | 13.24 GB | +96.76 GB | ~15 tok/s | ✓ FITS | Test Fit → |
| NVIDIA DGX Spark (128GB Grace-Blackwell Unified) AI Appliance • 273 GB/s | 118 GB | 13.24 GB | +104.76 GB | ~19 tok/s | ✓ FITS | Test Fit → |
| NVIDIA H100 SXM (80GB HBM3 Cloud GPU) Datacenter Cloud GPU • 3350 GB/s | 80 GB | 13.24 GB | +66.76 GB | ~250 tok/s | ✓ FITS | Test Fit → |
| NVIDIA GeForce RTX 5070 Ti (16GB GDDR7) Consumer GPU • 896 GB/s | 16 GB | 13.24 GB | +2.76 GB | ~63 tok/s | ✓ FITS | Test Fit → |
| NVIDIA GeForce RTX 5070 (12GB GDDR7) Consumer GPU • 672 GB/s | 12 GB | 13.24 GB | -1.24 GB | ~10 tok/s | ⚡ PARTIAL | Test Fit → |
| NVIDIA GeForce RTX 4080 Super (16GB GDDR6X) Consumer GPU • 736 GB/s | 16 GB | 13.24 GB | +2.76 GB | ~52 tok/s | ✓ FITS | Test Fit → |
| AMD Radeon RX 7900 XTX (24GB GDDR6) Consumer GPU • 960 GB/s | 24 GB | 13.24 GB | +10.76 GB | ~58 tok/s | ✓ FITS | Test Fit → |
| AMD Radeon RX 7900 XT (20GB GDDR6) Consumer GPU • 800 GB/s | 20 GB | 13.24 GB | +6.76 GB | ~48 tok/s | ✓ FITS | Test Fit → |
| Apple Mac Studio M2 Ultra (192GB Unified Memory) Apple Silicon Workstation • 800 GB/s | 144 GB | 13.24 GB | +130.76 GB | ~54 tok/s | ✓ FITS | Test Fit → |