How much VRAM does Mistral Small 4 119B need?

Mistral Small 4 119B (119B parameters) requires approximately 78.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Mistral Small 4 119B?

The recommended quantization for Mistral Small 4 119B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Mistral Small 4 119B requires more memory than RTX 4000 Ada 20GB provides.

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

10.4 tok/s

TTFT

18635 ms

Safe context

Memory

78.0 GB / 20.0 GB

Weights72.6 GB

KV Cache1.0 GB

Runtime2.4 GB

Headroom2.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	11.3 tok/s	25020 ms	8K
Chat	F	Too heavy	11.3 tok/s	9383 ms	4K
Coding	F	Too heavy	10.4 tok/s	18635 ms	4K
RAG	F	Too heavy	11.3 tok/s	31275 ms	8K
Reasoning	F	Too heavy	11.3 tok/s	20329 ms	4K

How Mistral Small 4 119B (119B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	46.4 GB	Low	F0
Q3_K_S	3	58.3 GB	Low	F0
NVFP4	4

Upgrade options

MacBook Pro M3 Max 128GBBest value

C9.6 tok/s decode

~$2,499 MSRP

AMD Instinct MI350X 288GBBudget pick

C234.1 tok/s decode

~$8,000 MSRP

NVIDIA H200 141GBNVIDIA upgrade