How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 8.7 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?

No, Qwen3.5 9B requires more memory than RTX 2060 6GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

44.1 tok/s

TTFT

4393 ms

Safe context

11K

Memory

8.7 GB / 6.0 GB

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom0.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	34.9 tok/s	8072 ms	19K
Chat	F	Too heavy	34.9 tok/s	3027 ms	6K
Coding	F	Too heavy	44.1 tok/s	4393 ms	11K
RAG	F	Too heavy	34.9 tok/s	10090 ms	19K
Reasoning	F	Too heavy	34.9 tok/s	6559 ms	11K

How Qwen3.5 9B (9B params) fits at each quantization level on RTX 2060 6GB (6.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	3.5 GB	Low	C42
Q3_K_S	3	4.4 GB	Low	C44

Upgrade options

Intel Arc B580 12GBBudget pick

C39.9 tok/s decode

~$249 MSRP

RTX 3060 12GBBest value

C43.3 tok/s decode

~$329 MSRP

RTX 3080 12GBBiggest leap

B126.3 tok/s decode

~$799 MSRP

RTX 3080 Ti 12GBNVIDIA upgrade

B122.9 tok/s decode

~$1,199 MSRP