How much VRAM does Devstral Small 1.1 need?

Devstral Small 1.1 (24B parameters) requires approximately 20.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Devstral Small 1.1?

The recommended quantization for Devstral Small 1.1 is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Devstral Small 1.1 requires more memory than RTX 3500 Ada Laptop 12GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

16.5 tok/s

TTFT

11716 ms

Safe context

Memory

20.8 GB / 12.0 GB

Weights14.6 GB

KV Cache3.8 GB

Runtime1.2 GB

Headroom1.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	16.8 tok/s	16808 ms	16K
Chat	F	Too heavy	16.8 tok/s	6303 ms	5K
Coding	F	Too heavy	16.5 tok/s	11716 ms	9K
RAG	F	Too heavy	16.8 tok/s	21010 ms	16K
Reasoning	F	Too heavy	16.8 tok/s	13656 ms	9K

How Devstral Small 1.1 (24B params) fits at each quantization level on RTX 3500 Ada Laptop 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	9.4 GB	Low	C44
Q3_K_S	3	11.8 GB	Low	C44
NVFP4	4

Upgrade options

MacBook Pro M4 32GBBest value

C5.9 tok/s decode

~$799 MSRP

RX 7900 XTX 24GBBudget pick

C47.2 tok/s decode

~$999 MSRP

RTX 5090 32GBBiggest leap