A hands-on guide to building a pure-Python gguf and safetensors weight loader from scratch. Parse binary headers, memory-map tensor data, and convert to numpy arrays for inference — with real runnable code and a roadmap to production-grade.
A practical guide to implementing a GGUF loader with blockwise dequantization and safetensors export, demonstrating low-level systems expertise.
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 zero-dependency GGUF weight loader from scratch in Python, covering the binary container format, tensor extraction, and a roadmap to production-grade features.
Walk through designing and implementing a GGUF parser that streams tensor shards into memory-mapped safetensors-compatible buffers — a CV-grade systems project with concrete code, tests, and a roadmap to senior-level upgrades.