Ollama library

Magistral 24B

Ollama library·24B·Transformer·39K ctx·2026-08

Check on my hardwareAdd to compare →Ollama →Hugging Face →

Model size→Hardware requirement→Actual fit

Magistral 24B needs ~15.2–27.9 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.

8 GB

RTX 4060 · 3060 Ti

15.2
8
Q4_K_M · Est. ~3 tok/sSlow · CPU offload

12 GB

RTX 4070 · 3060 12G

15.2
12
Q4_K_M · Est. ~5 tok/sSlow · CPU offload

16 GB

RTX 4080 · M-series 16G

15.2
16
Q4_K_M · Est. ~38 tok/sCompromises

24 GB

RTX 4090 · 3090

17.7
24
Q5_K_M · Est. ~68 tok/sComfortable

48 GB

A6000 · 2×24G

27.9
48
Q8_0 · Est. ~38 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M14 GB15.2 GB
Q5_K_M16.5 GB17.7 GB
Q8_026.7 GB27.9 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General

Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.