LLM quantization query: skipping outlier blocks for accuracy

A user on r/LocalLLaMA is inquiring about advanced techniques in weight quantization for large language models. Specifically, they question why blocks of 32 values in Q8_0 quantization cannot be skipped if they contain outliers. The user suggests that preserving native values for such blocks could significantly improve model accuracy, as less than 1% of sub-layers might need to be skipped. AI

RANK_REASON User query about a technical aspect of LLM quantization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

• Q8_0
• r/LocalLLaMA

• paper

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →