A straightforward method for training your LLM, from downloading data to generating text.
Appears on
Quick read
Latest capture 2026-10-17 03:16
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
2 observed captures since 2026-09-05. Observed captures are shown by default.
Stars from first capture +2629
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Build a modern LLM from scratch. Every line commented. Explained like we are five.
No description.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An transformer based LLM. Written completely in Rust
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
