How much VRAM does Llama 3.2 1B need?

Llama 3.2 1B (1B parameters) requires approximately 3.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Llama 3.2 1B?

The recommended quantization for Llama 3.2 1B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, Intel Arc B580 12GB can run Llama 3.2 1B with a C grade (Runs well). Expected decode speed: 328.3 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

328.3 tok/s

TTFT

590 ms

Safe context

50K

Memory

3.8 GB / 12.0 GB

Weights0.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom1.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	218.9 tok/s	1287 ms	101K
Chat	C	Runs well	218.9 tok/s	482 ms	25K
Coding	C	Runs well	328.3 tok/s	590 ms	50K
RAG	C	Runs well	218.9 tok/s	1608 ms	101K
Reasoning	C	Runs well	218.9 tok/s	1045 ms	50K

How Llama 3.2 1B (1B params) fits at each quantization level on Intel Arc B580 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.4 GB	Low	D29
Q3_K_S	3	0.5 GB	Low	D29
NVFP4	4

Ollama

ollama run llama-3.2-1b

HuggingFace

huggingface-cli download llama-3.2-1b

Upgrade options

MacBook Pro M3 Pro 18GBBudget pick

C109.5 tok/s decode

~$1,999 MSRP