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.
Descărcați și rulați online această aplicație numită llama2.c cu OnWorks gratuit.
Urmați aceste instrucțiuni pentru a rula această aplicație:
- 1. Ați descărcat această aplicație pe computer.
- 2. Introduceți în managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator pe care îl doriți.
- 3. Încărcați această aplicație într-un astfel de manager de fișiere.
- 4. Porniți emulatorul online OnWorks Linux sau Windows online sau emulatorul online MACOS de pe acest site web.
- 5. Din sistemul de operare OnWorks Linux pe care tocmai l-ați pornit, accesați managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator dorit.
- 6. Descărcați aplicația, instalați-o și rulați-o.
SCREENSHOTS
Ad
llama2.c
DESCRIERE
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.
Categorii
- 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
Limbaj de programare
C, Python
Categorii
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.
