Llm.c : Utilizes simple C/CUDA for LLM training.

Llm.c

AI Model AI Development Assistant #LLM #C #CUDA #Machine Learning #Natural Language Processing Standard Picks Open Source

Overview :

karpathy/llm.c is a project that implements LLM training using a simple C/CUDA implementation. It aims to provide a clean and straightforward reference implementation while also including optimized versions that can approach the performance of PyTorch with drastically reduced code and dependencies. It is currently under development for a direct CUDA implementation, CPU version optimization using SIMD instructions, and support for more modern architectures such as Llama2 and Gemma.

Target Users :

Serves as a reference implementation for LLM training and a foundation for further optimization and expansion of LLM models.

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Use Cases

Implemented a small-scale language model based on GPT-2 using karpathy/llm.c and achieved significant speed improvements through the optimized version.

Developed an LLM training tool that supports the Llama2 architecture based on karpathy/llm.c.

Referred to the code structure and implementation of karpathy/llm.c to develop a custom LLM model tailored to a specific application scenario.

Features

Uses simple C/CUDA to implement LLM training

Provides a clean and simple reference implementation

Includes optimized versions with performance close to PyTorch

Supports various modern LLM architectures