Granite 4.2 30B
Granite 4.2 30B loads in 16.5 GB at Q4_K_M, comfortably from 32 GB of memory — Macs included, starting at the MacBook Air M5 24GB. Below is the memory math we ran for it, the cheapest card that fits, and the fastest machine we track.
How much memory does Granite 4.2 30B need?
Granite 4.2 30B is a 29.3B dense model built for coding, chat. The weights alone take 16.5 GB at Q4_K_M; add context and the OS, and it belongs in the 32 GB memory class. Every number below comes from the ModelFit engine — speeds are estimates, labeled est., because we do not benchmark hardware ourselves.
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Which machines run Granite 4.2 30B?
Verdicts come from the same engine that powers our fit checker — memory capacity first, bandwidth for speed. How we compute these numbers · Hugging Face model card
More Granite models
Frequently asked questions
How much memory does Granite 4.2 30B need?
16.5 GB for the Q4_K_M weights, plus ~4.0 GB of KV-cache at 16k context — about 20.5 GB total. Comfortable from 32 GB of VRAM or unified memory.
Does Granite 4.2 30B run on a Mac?
Yes — from the MacBook Air M5 24GB (~6 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Granite 4.2 30B?
The AMD Radeon RX 7900 XT is the cheapest tracked card that runs Granite 4.2 30B comfortably — ~25 tok/s est. at ~$550 used.
Cite this page
ModelFit: Granite 4.2 30B — specs, memory math and hardware verdicts. https://modelfit.io/models/granite4.2-30b/ (dataset updated 2026-09-03, CC BY 4.0).