Minimal LLM Post-Training Experiments on an 8GB GPU (SFT
DPO, GRPO). Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence.
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The implementation of Test Time Diffusion paper by Google with some tweaks to run on 24gb gpu
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Free Inference Engineer and Model Training Roadmap
inferquest.orgFree, gamified roadmaps for LLM engineering: an Inference Engineering path (KV caches, CUDA kernels, production vLLM serving) and a Model Training path (pretraining on a budget, scaling laws, SFT/DPO/GRPO) — 185 tasks with auto-verified milestones instead of a paper certificate.
OpenGraviton
opengraviton.github.ioRun 500B+ parameter models on a consumer Mac Mini
Mini-AGI
github.comDynamic continual learning model trained on 8GB VRAM