How much VRAM does Qwen3.5 27B need?

Qwen3.5 27B (27B parameters) requires approximately 23.0 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?

No, Qwen3.5 27B requires more memory than RTX 2080 Ti 11GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

26.9 tok/s

TTFT

7189 ms

Safe context

Memory

23.0 GB / 11.0 GB

Weights16.5 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom1.1 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	24.3 tok/s	11583 ms	13K
Chat	F	Too heavy	24.3 tok/s	4344 ms	4K
Coding	F	Too heavy	26.9 tok/s	7189 ms	8K
RAG	F	Too heavy	24.3 tok/s	14479 ms	13K
Reasoning	F	Too heavy	24.3 tok/s	9411 ms	8K

How Qwen3.5 27B (27B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	C45
Q3_K_S	3	13.2 GB	Low	F0
NVFP4	4

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