This is the Linux app named llama2.c whose latest release can be downloaded as llama2.csourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Завантажте та запустіть онлайн цю програму під назвою llama2.c за допомогою OnWorks безкоштовно.
Дотримуйтесь цих інструкцій, щоб запустити цю програму:
- 1. Завантажив цю програму на свій ПК.
- 2. Введіть у наш файловий менеджер https://www.onworks.net/myfiles.php?username=XXXXX із потрібним ім'ям користувача.
- 3. Завантажте цю програму в такий файловий менеджер.
- 4. Запустіть онлайн-емулятор OnWorks Linux або Windows або онлайн-емулятор MACOS з цього веб-сайту.
- 5. З ОС OnWorks Linux, яку ви щойно запустили, перейдіть до нашого файлового менеджера https://www.onworks.net/myfiles.php?username=XXXXX з потрібним іменем користувача.
- 6. Завантажте програму, встановіть її та запустіть.
ЕКРАНИ
Ad
лама2.c
ОПИС
llama2.c is a minimalist implementation of the Llama 2 language model architecture designed to run entirely in pure C. Created by Andrej Karpathy, this project offers an educational and lightweight framework for performing inference on small Llama 2 models without external dependencies. It provides a full training and inference pipeline: models can be trained in PyTorch and later executed using a concise 700-line C program (run.c). While it can technically load Meta’s official Llama 2 models, current support is limited to fp32 precision, meaning practical use is capped at models up to around 7B parameters. The goal of llama2.c is to demonstrate how a compact and transparent implementation can perform meaningful inference even with small models, emphasizing simplicity, clarity, and accessibility. The project builds upon lessons from nanoGPT and takes inspiration from llama.cpp, focusing instead on minimalism and educational value over large-scale performance.
Функції
- Implements the full Llama 2 architecture for both training and inference
- Provides a compact, 700-line C-based inference engine (run.c)
- Allows training in PyTorch and running models directly in C
- Supports fp32 model precision for smaller, educational-scale LLMs
- Offers a clean, dependency-free implementation for easy study and modification
- Inspired by llama.cpp but designed for simplicity and minimalism
Мова програмування
C, Python
Категорії
This is an application that can also be fetched from https://sourceforge.net/projects/llama2-c.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
