Montinger / Transformer-WorkbenchLinks
Playground for Transformers
☆53Updated last year
Alternatives and similar repositories for Transformer-Workbench
Users that are interested in Transformer-Workbench are comparing it to the libraries listed below
Sorting:
- several types of attention modules written in PyTorch for learning purposes☆52Updated 11 months ago
- PyTorch implementation of moe, which stands for mixture of experts☆48Updated 4 years ago
- 📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classifi…☆52Updated 2 years ago
- ☆65Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 11 months ago
- Fast instruction tuning with Llama2☆11Updated last year
- LoRA and DoRA from Scratch Implementations☆212Updated last year
- Unofficial implementation of https://arxiv.org/pdf/2407.14679☆49Updated last year
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated last year
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆206Updated 2 weeks ago
- First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting…☆178Updated 2 months ago
- ☆134Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆121Updated 11 months ago
- minimal scripts for 24GB VRAM GPUs. training, inference, whatever☆42Updated this week
- Efficient Infinite Context Transformers with Infini-attention Pytorch Implementation + QwenMoE Implementation + Training Script + 1M cont…☆84Updated last year
- ☆48Updated last year
- A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.☆96Updated 9 months ago
- a curated list of the role of small models in the LLM era☆105Updated 11 months ago
- Experiments on Multi-Head Latent Attention☆95Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆78Updated 11 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆161Updated 5 months ago
- Root Mean Square Layer Normalization☆254Updated 2 years ago
- This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…☆58Updated last year
- ☆42Updated last year
- minimal GRPO implementation from scratch☆97Updated 6 months ago
- code for the ddp tutorial☆32Updated 3 years ago
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆25Updated last week
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆179Updated last year
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆92Updated 2 years ago