Running AI models locally is still hard.Even as open-source LLMs
grow more capable, actually getting them to run on your
machine, with the right dependencies, remains slow, fragile, and
inconsistent. There’s two sides to this challenge:
Model creation and optimization:making
fine-tuning and quantization efficient.
Model execution and portability:making models
reproducible, isolated, and universal.
