Local ML Study Cache

A small personal cache of public datasets, models, and study materials I keep around for offline experiments and learning. Curated, not comprehensive — just things I find useful.

Recent additions

train-clean-100.tar.gz — 6.0 GB LibriSpeech, 2025-07
phi-2.Q4_K_M.gguf — 1.7 GB Phi-2 quantized, 2025-04
val2017.zip — 778 MB COCO 2017 val, 2024-12
tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf — 638 MB TinyLlama, 2025-08
pytorch_model.bin — 421 MB BERT base uncased, 2025-10
annotations_trainval2017.zip — 242 MB COCO annotations, 2025-03
torch-2.3.0-cpu.whl — 182 MB PyTorch 2.3 CPU, 2024-04

ML Datasets & Models

Browse all in /ml-datasets/ →

Foundational papers — AlexNet to Mamba
Pretrained models — BERT, ResNet
Educational LLMs — GGUF format, runs on laptops
Code archives — nanoGPT, llm.c, tinygrad
Image datasets — MNIST, Fashion-MNIST, CIFAR-10
Benchmark suites — COCO 2017
Audio datasets — LibriSpeech

Software

Browse all in /software-releases/ →

Software releases — PyTorch, TensorFlow wheels

Local snapshots for offline study. For latest releases, refer to each project's official channels.

Last index update: 2026-05-06