How much VRAM does Qwen3.5 27B need?

Qwen3.5 27B (27B parameters) requires approximately 25.1 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, RTX 5000 Ada 32GB can run Qwen3.5 27B with a C grade (Runs well). Expected decode speed: 25.2 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

25.2 tok/s

TTFT

7689 ms

Safe context

20K

Memory

25.1 GB / 32.0 GB

Weights16.5 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	25.2 tok/s	11183 ms	35K
Chat	C	Runs well	25.2 tok/s	4194 ms	11K
Coding	C	Runs well	25.2 tok/s	7689 ms	20K
RAG	C	Tight fit	25.2 tok/s	13979 ms	35K
Reasoning	C	Runs well	25.2 tok/s	9086 ms	20K

How Qwen3.5 27B (27B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	D37
Q3_K_S	3	13.2 GB	Low	D38
NVFP4	4

HuggingFace

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

Upgrade options

NVIDIA A100 40GBBudget pick

B79.3 tok/s decode

~$10,000 MSRP