Everything I've learned so far about running local LLMs
SMRTR summary
Large Language Models (LLMs) have rapidly evolved, enabling users to run sophisticated AI on personal devices like Raspberry Pi. LLMs can now be run privately and offline using software like llama.cpp and downloadable models from platforms like Hugging Face. Models ranging from 1B to 70B parameters offer various capabilities and trade-offs. Key applications include proofreading, fiction writing, language translation, and creative conversations. However, LLMs still struggle with code generation and have limitations in context length and accuracy.
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