Can you run Qwen 2.5 72B Instruct locally?

Qwen 2.5 family · September 2024 · 72.7B parameters · Hugging Face model card

How much VRAM does Qwen 2.5 72B Instruct need at each quantization?

Qwen 2.5 72B Instruct needs 49.3 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (80 layers, 8 KV heads, 128 head dim). Source: Params 72.71B (T12 reference 72,705,384,448), 80 layers, 8 KV heads, head dim 128, 32768 context — HF config.json (Qwen/Qwen2.5-72B-Instruct), fetched 2026-08-26.

Which GPUs can run Qwen 2.5 72B Instruct locally?

At Q4_K_M with a 4k context, Qwen 2.5 72B Instruct needs 49.3 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Qwen 2.5 72B Instruct comfortably (25%+ VRAM headroom)

Needs 2+ GPUs to run Qwen 2.5 72B Instruct

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 49.3 GB requirement. See our multi-GPU guide for setup.

Can a Mac run Qwen 2.5 72B Instruct?

Yes — these Apple Silicon machines fit Qwen 2.5 72B Instruct at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Can Qwen 2.5 72B Instruct run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Qwen 2.5 72B Instruct at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

Which pre-built systems can run Qwen 2.5 72B Instruct?

These mini PCs and workstations from our database fit Qwen 2.5 72B Instruct at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

Frequently asked questions

Related guides

• Open Qwen 2.5 72B Instruct in the VRAM calculator — pick quantization and context, see the memory math per GPU class.
• Best GPUs for LLMs
• VRAM Calculator