AhaBulb: Stuff Everyone Should Know · ahabulb.com/ai-int8-halves-memory
Quantizing a 16-bit model's weights to 8-bit integers does what to the memory needed for inference?
- Doubles it
- Cuts it about in half
- Leaves it unchanged
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References
- Dettmers et al., LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale (arXiv 2208.07339) arxiv.org/abs/2208.07339 Checked 2026-10-10.
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