Conditional Program stores LLM n-gram lookup tables at two bits
For DeepSeek, the method cuts table storage from 203GB to 51GB versus keeping full embeddings.
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For DeepSeek, the method cuts table storage from 203GB to 51GB versus keeping full embeddings.
FactorEngram adds factorized n-gram memory with basis-level gating to language models.
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