knotgrass / How-Transformers-WorkLinks
🧠A study guide to learn about Transformers
☆11Updated last year
Alternatives and similar repositories for How-Transformers-Work
Users that are interested in How-Transformers-Work are comparing it to the libraries listed below
Sorting:
- Tutorial for how to build BERT from scratch☆98Updated last year
- LLaMA 2 implemented from scratch in PyTorch☆347Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆178Updated 5 months ago
- LLM Workshop by Sourab Mangrulkar☆392Updated last year
- Llama from scratch, or How to implement a paper without crying☆578Updated last year
- Notes about LLaMA 2 model☆66Updated last year
- A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.☆345Updated last month
- Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.☆257Updated last year
- ☆92Updated 11 months ago
- Distributed training (multi-node) of a Transformer model☆79Updated last year
- ☆214Updated 6 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆270Updated last year
- This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT)…☆70Updated last year
- Fine-tuning Open-Source LLMs for Adaptive Machine Translation☆85Updated last month
- LoRA and DoRA from Scratch Implementations☆209Updated last year
- GPU Kernels☆193Updated 4 months ago
- A project to improve skills of large language models☆529Updated this week
- ☆182Updated last year
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆236Updated 9 months ago
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆152Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creation☆110Updated 11 months ago
- Best practices for distilling large language models.☆573Updated last year
- Advanced NLP, Spring 2025 https://cmu-l3.github.io/anlp-spring2025/☆64Updated 5 months ago
- Notes and commented code for RLHF (PPO)☆104Updated last year
- ☆84Updated last year
- ☆192Updated 7 months ago
- LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch☆113Updated 2 years ago
- 100 days of building GPU kernels!☆489Updated 4 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆190Updated 2 months ago
- ☆536Updated 9 months ago