Expired50% confidenceFactExact time
The M2 Max (96 GB unified memory) can theoretically run quantized models at the 70B level smoothly.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/19/2026
First Seen
Valid until: 10/17/2026(expired)
Sources
Related Claims
UnverifiedA 70B parameter model quantized with Q4_K_M occupies approximately 40GB of storage, and can achieve an inference speed of 10–20 tokens per second on an RTX 4090 with CPU memory offloading.75% similarUnverifiedQuantization formats can compress the runtime memory of a 70B-parameter model from 140 GB to under 40 GB.75% similarUnverifiedEven after quantization, 70B-level models often require more than 40 GB of VRAM or a multi-GPU configuration.74% similarUnverifiedQuantprobe claims to enable a machine with only 6GB of VRAM and 16GB of RAM to run 30B-class models at 22 tokens/s.73% similarUnverifiedThe KV Cache of a 70B-parameter model with 128K context support can require hundreds of gigabytes of VRAM at full load, exceeding the 80GB VRAM capacity of a single H100.73% similar
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