How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 17.7 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 H20 96GB can run Qwen3.5 9B with a C grade (Runs well). Expected decode speed: 524.6 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

524.6 tok/s

TTFT

369 ms

Safe context

87K

Memory

17.7 GB / 96.0 GB

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom9.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	524.6 tok/s	537 ms	161K
Chat	C	Runs well	524.6 tok/s	350 ms	45K
Coding	C	Runs well	524.6 tok/s	369 ms	87K
RAG	C	Runs well	524.6 tok/s	671 ms	161K
Reasoning	C	Runs well	524.6 tok/s	436 ms	87K

How Qwen3.5 9B (9B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D30
Q3_K_S	3	4.4 GB	Low	D31
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