Llama 3.3 70B Instruct
Llama 3.3 70B Instruct loads in 42 GB at Q4_K_M and is comfortable from 64 GB of memory, Macs included from the MacBook Pro M5 Max 128GB. Below: the full memory math, the cheapest card that runs it well, and the fastest machine we track.
Memory math
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Hardware snapshot
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Frequently asked questions
How much memory does Llama 3.3 70B Instruct need?
42 GB for the Q4_K_M weights, plus ~5.0 GB of KV-cache at 16k context — about 47.0 GB total. Comfortable from 64 GB of VRAM or unified memory.
Does Llama 3.3 70B Instruct run on a Mac?
Yes — from the MacBook Pro M5 Max 128GB (~10 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Llama 3.3 70B Instruct?
The NVIDIA RTX PRO 6000 Blackwell is the cheapest tracked card that runs Llama 3.3 70B Instruct comfortably — ~23 tok/s est. at ~$12,912 used (as of 2026-07-31).
Cite this page
ModelFit: Llama 3.3 70B Instruct — specs, memory math and hardware verdicts. https://modelfit.io/models/llama3.3-70b/ (dataset updated 2026-09-03, CC BY 4.0).