How much VRAM does Qwen3.5 4B need?

Qwen3.5 4B (4B parameters) requires approximately 7.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 4B?

The recommended quantization for Qwen3.5 4B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, NVIDIA V100 32GB can run Qwen3.5 4B with a C grade (Runs well). Expected decode speed: 265.6 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

265.6 tok/s

TTFT

729 ms

Safe context

67K

Memory

7.6 GB / 32.0 GB

Weights2.4 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	247.1 tok/s	1139 ms	127K
Chat	C	Runs well	247.1 tok/s	427 ms	34K
Coding	C	Runs well	265.6 tok/s	729 ms	67K
RAG	C	Runs well	247.1 tok/s	1424 ms	127K
Reasoning	C	Runs well	247.1 tok/s	926 ms	67K

How Qwen3.5 4B (4B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	D31
Q3_K_S	3	2.0 GB	Low	D31
NVFP4	4

Upgrade options

MacBook Pro M4 Pro 64GBBudget pick

C86.2 tok/s decode

~$1,599 MSRP

MacBook Pro M3 Max 48GBBest value

C98.4 tok/s decode

~$2,499 MSRP