Mistral 7B Instruct
Mistral 7B Instruct loads in 5.5 GB at Q4_K_M and is comfortable from 12 GB of memory, Macs included from the Mac Mini M6 16GB. Below: the full memory math, the cheapest card that runs it well, and the fastest machine we track.
PARAMETERS
7B
FORMAT
Q4_K_M
MIN MEMORY
8 GB
BEST FOR
Chat, Coding
Memory math
Weights (Q4_K_M)
5.5 GB
+ KV cache (16k)
~2.0 GB
Total at 16k
~7.5 GB
Comfortable from
12 GB
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Hardware snapshot
Go deeper
Every Mistral 7B Instruct quant by real GGUF file sizeAlso tracked: Mistral 7B Instruct (Q5) (Q5_K_M, 4.8 GB, min 8 GB)Also tracked: Mistral 7B Instruct (Q8) (Q8_0, 7.2 GB, min 16 GB)
More Mistral models
Frequently asked questions
How much memory does Mistral 7B Instruct need?
5.5 GB for the Q4_K_M weights, plus ~2.0 GB of KV-cache at 16k context — about 7.5 GB total. Comfortable from 12 GB of VRAM or unified memory.
Does Mistral 7B Instruct run on a Mac?
Yes — from the Mac Mini M6 16GB (~32 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Mistral 7B Instruct?
The AMD Radeon RX 7900 XT is the cheapest tracked card that runs Mistral 7B Instruct comfortably — ~83 tok/s est. at ~$550 used.
Cite this page
ModelFit: Mistral 7B Instruct — specs, memory math and hardware verdicts. https://modelfit.io/models/mistral-7b/ (dataset updated 2026-09-03, CC BY 4.0).