ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Appro
We introduce ExTernD (Expanded-rank Ternary Decomposition), a post-training factorization of each LLM weight matrix $A \in \mathbb{R}^{m \times n}$ into $A \approx B \mathrm{diag}(D) C$ with ternary factors $B \in \{-1,0,+1\}^{m \times k}$,
https://arxiv.org/abs/2607.13511v1 ↗Thesis fit
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llm, ai
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
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