MODEL ARCHITECTURE SPEC โข ALIBABA CLOUD72.7B Dense
Qwen 2.5 72B Instruct VRAM & inference speed
72.7B Total ParamsDense Architecture80 Layers โข 8 KV Heads32K Default Ctx (Max 128K)Ollama: qwen2.5:72b
Accurate memory requirements, KV cache footprint, and tokens/sec generation benchmarks for running Qwen 2.5 72B Instruct across local GPUs, Apple Silicon Macs, and cloud instances.
โ FITS IN VRAM51.27 GB (47%)~3 t/s
Qwen 2.5 72B Instruct on AMD Strix Halo Mini-PC (Ryzen AI Max+ 395 128GB)
โ Fits Comfortably in VRAM
โ FITS IN VRAM
Required VRAM
51.27 GB
47% of hardware capacity (110 GB)Est. Decode Speed
~3 tok/s
Dense model @ 256 GB/sAvailable Headroom
+58.73 GB
Safe for OS display & full contextMemory Allocation & Headroom
51.27 GB allocated of 110 GB capacity
47% utilized
Weights: 43.62 GB
KV: (32K): 5.37 GB
Overhead: 2.28 GB
Free Headroom: +58.73 GB
โก Architecture & Throughput Transparency: Single-user decode speed (~3 tok/s) is memory-bandwidth bound at batch size = 1 on AMD Strix Halo Mini-PC (Ryzen AI Max+ 395 128GB) (256 GB/s). Prompt prefill / TTFT (~44 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 Qwen 2.5 72B Instruct
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) โ $2.39/hr (H100)Vast.ai GPU MarketplaceCheapest Dual RTX 3090 / 4090
$0.18/hr (RTX 3060) โ $0.55/hr (RTX 4090)Lambda GPU CloudEnterprise 8x H100 Clusters
$1.99/hr (GH200 / H100)Quantization Precision Matrix
32K ctx โข KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 145.4 GB | 5.37 GB | 156.61 GB (142%) | 0 t/s | OOM |
| Q8_08.5 bpw | 77.06 GB | 5.37 GB | 85.88 GB (78%) | ~2 t/s | FITS |
| Q6_K6.56 bpw | 59.61 GB | 5.37 GB | 67.82 GB (62%) | ~2 t/s | FITS |
| Q5_K_M5.68 bpw | 51.62 GB | 5.37 GB | 59.55 GB (54%) | ~3 t/s | FITS |
| Q4_K_M4.8 bpw | 43.62 GB | 5.37 GB | 51.27 GB (47%) | ~3 t/s | FITS |
| FP44.25 bpw | 38.53 GB | 5.37 GB | 46 GB (42%) | ~4 t/s | FITS |
| IQ3_XS3.3 bpw | 29.81 GB | 5.37 GB | 36.97 GB (34%) | ~5 t/s | FITS |
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Hardware Compatibility Matrix for Qwen 2.5 72B Instruct
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 โข 1792 GB/s | 32 GB | 51.27 GB | -19.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| NVIDIA GeForce RTX 4090 (24GB GDDR6X) Consumer GPU โข 1008 GB/s | 24 GB | 51.27 GB | -27.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM) Multi-GPU Rig โข 936 GB/s | 48 GB | 51.27 GB | -3.27 GB | ~3 tok/s | โก PARTIAL | Test Fit โ |
| NVIDIA GeForce RTX 5080 (16GB GDDR7) Consumer GPU โข 960 GB/s | 16 GB | 51.27 GB | -35.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| NVIDIA RTX 4070 Ti Super (16GB) Consumer GPU โข 672 GB/s | 16 GB | 51.27 GB | -35.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| NVIDIA GeForce RTX 3060 (12GB) Consumer GPU โข 360 GB/s | 12 GB | 51.27 GB | -39.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| Apple MacBook Pro/Air M1 (8GB Unified Memory) Apple Silicon โข 68 GB/s | 7 GB | 51.27 GB | -44.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| Apple MacBook Pro/Air (16GB Unified Memory) Apple Silicon โข 100 GB/s | 14 GB | 51.27 GB | -37.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| Apple Mac Mini M4 Pro (64GB Unified Memory) Apple Silicon โข 273 GB/s | 54 GB | 51.27 GB | +2.73 GB | ~4 tok/s | โก TIGHT FIT | Test Fit โ |
| Apple Mac Studio M4 Max (128GB Unified Memory) Apple Silicon โข 546 GB/s | 112 GB | 51.27 GB | +60.73 GB | ~8 tok/s | โ FITS | Test Fit โ |
| Apple Mac Studio M5 Ultra (256GB Unified Memory) Apple Silicon โข 890 GB/s | 236 GB | 51.27 GB | +184.73 GB | ~13 tok/s | โ FITS | Test Fit โ |
| AMD Strix Halo Mini-PC (Ryzen AI Max+ 395 128GB) Unified APU / Mini-PC โข 256 GB/s | 110 GB | 51.27 GB | +58.73 GB | ~3 tok/s | โ FITS | Test Fit โ |
| NVIDIA DGX Spark (128GB Grace-Blackwell Unified) AI Appliance โข 273 GB/s | 118 GB | 51.27 GB | +66.73 GB | ~4 tok/s | โ FITS | Test Fit โ |
| NVIDIA H100 SXM (80GB HBM3 Cloud GPU) Datacenter Cloud GPU โข 3350 GB/s | 80 GB | 51.27 GB | +28.73 GB | ~54 tok/s | โ FITS | Test Fit โ |
| NVIDIA GeForce RTX 5070 Ti (16GB GDDR7) Consumer GPU โข 896 GB/s | 16 GB | 51.27 GB | -35.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| NVIDIA GeForce RTX 5070 (12GB GDDR7) Consumer GPU โข 672 GB/s | 12 GB | 51.27 GB | -39.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| NVIDIA GeForce RTX 4080 Super (16GB GDDR6X) Consumer GPU โข 736 GB/s | 16 GB | 51.27 GB | -35.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| AMD Radeon RX 7900 XTX (24GB GDDR6) Consumer GPU โข 960 GB/s | 24 GB | 51.27 GB | -27.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| AMD Radeon RX 7900 XT (20GB GDDR6) Consumer GPU โข 800 GB/s | 20 GB | 51.27 GB | -31.27 GB | 0 (OOM) | โ OOM | Test Fit โ |
| Apple Mac Studio M2 Ultra (192GB Unified Memory) Apple Silicon Workstation โข 800 GB/s | 144 GB | 51.27 GB | +92.73 GB | ~12 tok/s | โ FITS | Test Fit โ |