Local LLM inference – impressive but too hard to work with

Re:Local LLM inference – impressive but too hard to work with by aazo11 on Monday April 21, 2025 @12:42PM (#43753891)

I spent a couple of weeks trying out local inference solutions for a project. Wrote up my thoughts with some performance benchmarks in a blog.

TLDR -- What these frameworks can do on off the shelf laptops is astounding. However, it is very difficult to find and deploy a task specific model and the models themselves (even with quantization) are so large the download would kill UX for most applications.

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Re:Local LLM inference – impressive but too hard to work with by codelion on Monday April 21, 2025 @02:41PM (#43755066)

There are ways to improve the performance of local LLMs with inference time techniques. You can try with optillm - https://github.com/codelion/optillm it is possible to match the performance of larger models on narrow tasks by doing more at inference.

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