How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 9.1 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?

Can RTX 3080 10GB run Qwen3.5 9B?

Q: Can RTX 3080 10GB run Qwen3.5 9B?

Yes, RTX 3080 10GB can run Qwen3.5 9B with a C grade (Tight fit). Expected decode speed: 105.2 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

105.2 tok/s

TTFT

1840 ms

Safe context

18K

Memory

9.1 GB / 10.0 GB

Memory breakdown

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom1.0 GB

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs with offload (needs ~0.3 GB host RAM)	100.9 tok/s	2790 ms	30K
Chat	C	Tight fit	105.2 tok/s	1004 ms	9K
Coding	C	Tight fit	105.2 tok/s	1840 ms	18K
RAG	C	Runs with offload (needs ~0.3 GB host RAM)	100.9 tok/s	3488 ms	30K
Reasoning	C	Tight fit	105.2 tok/s	2175 ms

Quantization options

How Qwen3.5 9B (9B params) fits at each quantization level on RTX 3080 10GB (10.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D37
Q3_K_S	3	4.4 GB	Low	D39
NVFP4	4

Get started

HuggingFace

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

Upgrade options

Hardware that runs Qwen3.5 9B well

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

See all results for RTX 3080 10GB See all hardware for Qwen3.5 9B