OpenArch: PyTorch implementations of modern LLM architectures released on GitHub
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.
xllm: lightweight infrastructure for express LLM pre-training
xllm: lightweight infrastructure for express LLM pre-training
A developer released open-source AMDGCN kernels aimed at optimizing LLM inference. The kernels target AMD hardware to improve performance.
A developer released open-source AMDGCN kernels aimed at optimizing LLM inference. The kernels target AMD hardware to improve performance.
A developer released a free, open-source book on Large Language Models that bridges high-level tutorials and academic papers. The book focuses on practical code and concepts, and is available on GitHub for feedback.
A developer released a free, open-source book on Large Language Models that bridges high-level tutorials and academic papers. The book focuses on practical code and concepts, and is available on GitHub for feedback.
WebLLM: high-performance in-browser LLM inference engine shared on Hacker News
WebLLM: high-performance in-browser LLM inference engine shared on Hacker News