How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 11.3 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, Radeon AI PRO R9700 32GB can run Qwen3.5 9B with a C grade (Runs well). Expected decode speed: 83.9 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

83.9 tok/s

TTFT

2307 ms

Safe context

45K

Memory

11.3 GB / 32.0 GB

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	68.8 tok/s	4094 ms	81K
Chat	C	Runs well	68.8 tok/s	1535 ms	24K
Coding	C	Runs well	83.9 tok/s	2307 ms	45K
RAG	C	Runs well	68.8 tok/s	5118 ms	81K
Reasoning	C	Runs well	68.8 tok/s	3327 ms	45K

How Qwen3.5 9B (9B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D32
Q3_K_S	3	4.4 GB	Low	D32
NVFP4	4

HuggingFace

huggingface-cli download hf-lmstudio-community--qwen3-5-9b-gguf

Upgrade options

MacBook Pro M4 Max 48GBBudget pick

C62.7 tok/s decode

~$2,499 MSRP

Mac Studio M2 Ultra 64GBBest value

C84.5 tok/s decode

~$3,999 MSRP