Unverified50% confidenceFactExact time
Meta's LLaMA 2 70B model still requires approximately 35 GB of VRAM to fully load even with 4-bit quantization.
1
Sources
50%
Confidence
Long-term
Relevance
8/18/2026
First Seen
Sources
Chestnut：首款开源固件eGPU扩展坞深度解析
Related Claims
UnverifiedA 300B INT4 quantized model requires approximately 150–180GB of storage space.74% similarUnverifiedThe 4-bit quantized GGUF format version of llama.cpp enables the Llama 3.1 70B model to run on an Apple M2 Ultra with 64GB unified memory at an inference speed of approximately 20–30 tokens/second.73% similarUnverifiedEven after quantization, 70B-level models often require more than 40 GB of VRAM or a multi-GPU configuration.73% similar
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