How much VRAM does Qwen3.5 35B A3B need?

Qwen3.5 35B A3B (35B parameters) requires approximately 28.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 35B A3B?

The recommended quantization for Qwen3.5 35B A3B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen3.5 35B A3B requires more memory than RTX 4060 Laptop 8GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

8.6 tok/s

TTFT

22425 ms

Safe context

Memory

28.8 GB / 8.0 GB

Weights21.4 GB

KV Cache5.5 GB

Runtime1.2 GB

Headroom0.8 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	9.0 tok/s	31313 ms	7K
Chat	F	Too heavy	9.0 tok/s	11742 ms	4K
Coding	F	Too heavy	8.6 tok/s	22425 ms	4K
RAG	F	Too heavy	9.0 tok/s	39142 ms	7K
Reasoning	F	Too heavy	9.0 tok/s	25442 ms	4K

How Qwen3.5 35B A3B (35B params) fits at each quantization level on RTX 4060 Laptop 8GB (8.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	13.7 GB	Low	F0
Q3_K_S	3	17.2 GB	Low	F0
NVFP4	4

Upgrade options

Mac mini M4 64GBBudget pick

C4 tok/s decode

~$1,099 MSRP

MacBook Pro M4 Pro 64GBBest value

C9.8 tok/s decode

~$1,599 MSRP

NVIDIA A100 40GBBiggest leap