  In this work, we present empirical results regarding the feasibility of using
offline large language models (LLMs) in the context of electronic design
automation (EDA). The goal is to investigate and evaluate a contemporary
language model's (Llama-2-7B) ability to function as a microelectronic Q & A
expert as well as its reasoning, and generation capabilities in solving
microelectronic-related problems. Llama-2-7B was tested across a variety of
adaptation methods, including introducing a novel low-rank knowledge
distillation (LoRA-KD) scheme. Our experiments produce both qualitative and
quantitative results.
