Hands-On Build Guide: QLoRA Fine‑Tuner From Scratch in PyTorch with NF4 Quantization and LoRA Merging
A step‑by‑step guide to training a quantized LLaMA‑style model with QLoRA, merging LoRA adapters, and packaging the result as a portable CV asset.
A step‑by‑step guide to training a quantized LLaMA‑style model with QLoRA, merging LoRA adapters, and packaging the result as a portable CV asset.
Build a lightweight, pure‑Python KV‑cache manager that implements LRU and random eviction strategies, complete with paging, testing, and extension pathways for senior‑level topics.
A step‑by‑step guide to creating a pure‑Python GGUF weight loader that lazily memory‑maps tensors, perfect for demonstrating low‑level Python systems skills on a CV.
A hands‑on guide to building a LoRA adapter layer in pure PyTorch, with complete code, merge/unmerge, and tips for turning the project into a CV‑standing side project.
A step‑by‑step guide to creating a quantization‑aware tool that you can ship, benchmark, and showcase in job interviews.