How much VRAM does Qwen3.5 27B need?

Qwen3.5 27B (27B parameters) requires approximately 28.3 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, NVIDIA A16 64GB can run Qwen3.5 27B with a C grade (Runs well). Expected decode speed: 26.2 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

26.2 tok/s

TTFT

7381 ms

Safe context

36K

Memory

28.3 GB / 64.0 GB

Weights16.5 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom6.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	28.4 tok/s	9910 ms	63K
Chat	C	Runs well	28.4 tok/s	3716 ms	20K
Coding	C	Runs well	26.2 tok/s	7381 ms	36K
RAG	C	Runs well	28.4 tok/s	12388 ms	63K
Reasoning	C	Runs well	28.4 tok/s	8052 ms	36K

How Qwen3.5 27B (27B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	D33
Q3_K_S	3	13.2 GB	Low	D34
NVFP4	4

HuggingFace

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

Upgrade options

NVIDIA A100 80GBBudget pick

C104 tok/s decode

~$15,000 MSRP

AMD Instinct MI250X 128GBBest value

C151.5 tok/s decode

~$15,000 MSRP

NVIDIA H100 80GBNVIDIA upgrade

C170.9 tok/s decode

~$40,000 MSRP

NVIDIA A800 80GBBiggest leap