Unverified50% confidenceSolutionExact time
将8比特的Ngram表转成4比特可省下约100GB，使模型从约475GB降到约385GB
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/15/2026
First Seen
Valid until: 12/14/2026
Sources
Related Entities
Related Claims
UnverifiedA 7B-parameter model originally weighing 14GB can be compressed to roughly 4GB after 4-bit quantization, making it runnable on a laptop with just 8GB of RAM.78% similarVerified4-bit量化将每个参数压缩至0.5字节，理论上将140GB压缩至约35-40GB77% similarUnverified量化后的模型文件普遍在6GB到20GB之间77% similarUnverified量化可将700亿参数模型的存储体积从FP16的约140GB压缩至INT4的约35-40GB，能在单张RTX 4090配合CPU内存卸载的消费级硬件上运行76% similarUnverifiedA100 80GB通过MIG最多可切分为7个1g.10gb实例（每个约10GB显存），也可切分为2g、3g、4g、7g规格实例76% similar
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