How much VRAM does Qwen3.5 27B need?

Qwen3.5 27B (27B parameters) requires approximately 25.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 27B?

The recommended quantization for Qwen3.5 27B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, MacBook Pro M1 Pro 32GB can run Qwen3.5 27B with a D grade (Very compromised (needs ~1.5 GB host RAM)). Expected decode speed: 7.7 tok/s.

DPoor

Very compromised (needs ~1.5 GB host RAM)

Using Q4_K_M in Ollama

Capabilities:

Fit status

Very compromised (needs ~1.5 GB host RAM)

Decode

7.7 tok/s

TTFT

25216 ms

Safe context

15K

Memory

25.3 GB / 23.0 GB

Offload

10%

Weights16.5 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom3.5 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	7.9 tok/s	35677 ms	25K
Chat	C	Runs with offload (needs ~0.1 GB host RAM)	7.9 tok/s	13413 ms	8K
Coding	D	Very compromised (needs ~1.5 GB host RAM)	7.7 tok/s	25216 ms	15K
RAG	F	Too heavy	7.9 tok/s	44596 ms	25K
Reasoning	D	Very compromised (needs ~1.5 GB host RAM)	7.7 tok/s	29800 ms

How Qwen3.5 27B (27B params) fits at each quantization level on MacBook Pro M1 Pro 32GB (23.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	D39
Q3_K_S	3	13.2 GB	Low	C42
NVFP4	4

HuggingFace

huggingface-cli download hf-unsloth--qwen3-5-27b-gguf

Upgrade options

RX 7900 XTX 24GBBest value

C41.5 tok/s decode

~$999 MSRP

Mac mini M4 64GBBudget pick

C5.2 tok/s decode

~$1,099 MSRP

RTX 5090 32GBBiggest leap