How much VRAM does Codestral 2 25.08 need?

Codestral 2 25.08 (22B parameters) requires approximately 20.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Codestral 2 25.08?

The recommended quantization for Codestral 2 25.08 is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Codestral 2 25.08 requires more memory than Tesla P100 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

39.3 tok/s

TTFT

4930 ms

Safe context

12K

Memory

20.9 GB / 16.0 GB

Weights13.4 GB

KV Cache3.4 GB

Runtime2.4 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	32.2 tok/s	8750 ms	21K
Chat	D	Very compromised (needs ~2.2 GB host RAM)	27.3 tok/s	3864 ms	7K
Coding	F	Too heavy	39.3 tok/s	4930 ms	12K
RAG	F	Too heavy	32.2 tok/s	10938 ms	21K
Reasoning	F	Too heavy	32.2 tok/s	7110 ms	12K

How Codestral 2 25.08 (22B params) fits at each quantization level on Tesla P100 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	8.6 GB	Low	C41
Q3_K_SBest for your GPU	3	10.8 GB	Low	C44

Upgrade options

MacBook Pro M4 32GBBest value

C6.4 tok/s decode

~$799 MSRP

RX 7900 XTX 24GBBudget pick

C51.5 tok/s decode

~$999 MSRP

RTX 5090 32GBBiggest leap