How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 26.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 9B?

The recommended quantization for Qwen3.5 9B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, NVIDIA B200 180GB can run Qwen3.5 9B with a C grade (Runs well). Expected decode speed: 1049.2 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

1049.2 tok/s

TTFT

350 ms

Safe context

110K

Memory

26.1 GB / 180.0 GB

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom18.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	1224.0 tok/s	350 ms	209K
Chat	C	Runs well	1224.0 tok/s	350 ms	56K
Coding	C	Runs well	1049.2 tok/s	350 ms	110K
RAG	C	Runs well	1224.0 tok/s	350 ms	209K
Reasoning	C	Runs well	1224.0 tok/s	350 ms	110K

How Qwen3.5 9B (9B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D30
Q3_K_S	3	4.4 GB	Low	D30
NVFP4	4

HuggingFace

huggingface-cli download hf-unsloth--qwen3-5-9b-gguf

Upgrade options

Mac Studio M3 Ultra 256GBBudget pick

C101.4 tok/s decode