Persistent State Machines: LLM Attention with INT4 In-Memory Cells
ai
Hacker News is sharing a research paper on Zenodo: Persistent State Machines: LLM Attention with INT4 In-Memory Cells, by Yusuke Esaka. The paper examines language model attention systems with four-bit quantization, though specifics require reviewing the full research.
Source: https://zenodo.org/records/21753002
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