xllm: lightweight infrastructure for express LLM pre-training
Litelm: LiteLLM Without the Bloat
Litelm: LiteLLM Without the Bloat
OpenArch: PyTorch implementations of modern LLM architectures released on GitHub
OpenArch: PyTorch implementations of modern LLM architectures released on GitHub
Horus-runtime is a tool that lets you train a small language model from scratch, aimed at developers and researchers who want to understand LLM training or build custom small models. It provides a runtime environment for training, likely with a focus on simplicity and educational value.
Horus-runtime is a tool that lets you train a small language model from scratch, aimed at developers and researchers who want to understand LLM training or build custom small models. It provides a runtime environment for training, likely with a focus on simplicity and educational value.
A new interactive web essay titled 'The Next Token — LLMs, from the beginning' has been published on ceres1.space, offering a comprehensive introduction to large language models. The resource appears aimed at developers and enthusiasts seeking a foundational understanding of LLMs.
A new interactive web essay titled 'The Next Token — LLMs, from the beginning' has been published on ceres1.space, offering a comprehensive introduction to large language models. The resource appears aimed at developers and enthusiasts seeking a foundational understanding of LLMs.
A clean, readable codebase that implements the full LLM training pipeline (pretraining, SFT, DPO, GRPO/RL) using only PyTorch primitives, avoiding high-level abstractions. It helps developers understand the underlying math and mechanics of LLM training.
A clean, readable codebase that implements the full LLM training pipeline (pretraining, SFT, DPO, GRPO/RL) using only PyTorch primitives, avoiding high-level abstractions. It helps developers understand the underlying math and mechanics of LLM training.