How much VRAM does OLMo 2 32B need?

OLMo 2 32B (32B parameters) requires approximately 32.6 GB of memory with Q4_K_M quantization.

What is the best quantization for OLMo 2 32B?

The recommended quantization for OLMo 2 32B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, Mac Studio M2 Ultra 64GB can run OLMo 2 32B with a C grade (Runs well). Expected decode speed: 26.6 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

26.6 tok/s

TTFT

7267 ms

Safe context

Memory

32.6 GB / 46.1 GB

Weights19.5 GB

KV Cache5.0 GB

Runtime1.2 GB

Headroom6.9 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	26.6 tok/s	10571 ms	4K
Chat	C	Runs well	26.6 tok/s	3964 ms	4K
Coding	C	Runs well	26.6 tok/s	7267 ms	4K
RAG	C	Runs well	26.6 tok/s	13214 ms	4K
Reasoning	C	Runs well	26.6 tok/s	8589 ms	4K

How OLMo 2 32B (32B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	D35
Q3_K_S	3	15.7 GB	Low	D36
NVFP4	4

HuggingFace

huggingface-cli download olmo-2-32b

Upgrade options

RTX PRO 5000 Blackwell 48GBBudget pick

C57.8 tok/s decode

RTX 6000 Ada 48GBBiggest leap

C40.3 tok/s decode