Can I Run Qwen 2.5 Coder 32B Instruct on Apple MacBook Pro M4 Pro (24GB Unified Memory)?
Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Qwen 2.5 Coder 32B Instruct (32.5B) on Apple MacBook Pro M4 Pro (24GB Unified Memory) (20 GB).
! Partial Offload — Slow CPU/RAM Spillover
Local Hardware Configurations & Pricing
Partial Offload: Dedicated 100% GPU OptionsNVIDIA GeForce RTX 5090 (32GB GDDR7)
Maximum tokens/sec on 27B–35B models & Blackwell FP4 quantization
NVIDIA GeForce RTX 4090 (24GB GDDR6X)
The 24GB CUDA enthusiast standard for 14B–32B Q4_K_M models
2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)
Best price-to-VRAM homelab rig for Llama 3.3 70B Q4_K_M & Qwen 2.5 Coder 32B Q8_0
Apple MacBook Pro M4 Pro (24GB Unified Memory)
Portable 273 GB/s laptop running 14B–27B Q4_K_M models (Qwen 3.8 27B, Gemma 4 26B MoE)
Out of VRAM? Don't downgrade model quality.
Out of VRAMSpin up an on-demand cloud GPU instance in 60 seconds with pre-installed Ollama and vLLM. (Qwen 2.5 Coder 32B Instruct @ 25.22 GB VRAM)
Quantization Precision Matrix
32K ctx • KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 65 GB | 4.29 GB | 72.32 GB (362%) | 0 t/s | OOM |
| Q8_08.5 bpw | 34.45 GB | 4.29 GB | 40.7 GB (204%) | 0 t/s | OOM |
| Q6_K6.56 bpw | 26.65 GB | 4.29 GB | 32.62 GB (163%) | 0 t/s | OOM |
| Q5_K_M5.68 bpw | 23.07 GB | 4.29 GB | 28.92 GB (145%) | 0 t/s | OOM |
| Q4_K_M4.8 bpw | 19.5 GB | 4.29 GB | 25.22 GB (126%) | ~2 t/s | PARTIAL |
| FP44.25 bpw | 17.23 GB | 4.29 GB | 22.87 GB (114%) | ~2 t/s | PARTIAL |
| IQ3_XS3.3 bpw | 13.32 GB | 4.29 GB | 18.83 GB (94%) | ~12 t/s | FITS |
Export Full Architecture & Infrastructure Spec
Download an instant Markdown architecture spec with exact memory math, hardware benchmarks, and runtime CLI flags.
Frequently Asked Questions: Qwen 2.5 Coder 32B Instruct on Apple MacBook Pro M4 Pro (24GB Unified Memory)
How much VRAM does Qwen 2.5 Coder 32B Instruct need on Apple MacBook Pro M4 Pro (24GB Unified Memory)?
At standard 4-bit quantization (Q4_K_M) with 32K context, Qwen 2.5 Coder 32B Instruct requires 25.22 GB of total VRAM (weights + KV cache + CUDA runtime overhead).
What inference speed will Qwen 2.5 Coder 32B Instruct achieve on Apple MacBook Pro M4 Pro (24GB Unified Memory)?
Based on Apple MacBook Pro M4 Pro (24GB Unified Memory)'s 273 GB/s memory bandwidth, expected decode speed is approximately 2 tokens per second.
Can I expand context beyond 32K tokens?
Each additional 32K tokens of context requires additional KV cache memory. For longer context windows, consider 8-bit or 4-bit KV cache quantization.