eth-easl / fmengine
Utilities for Training Very Large Models
☆58Updated 5 months ago
Alternatives and similar repositories for fmengine:
Users that are interested in fmengine are comparing it to the libraries listed below
- Using FlexAttention to compute attention with different masking patterns☆40Updated 5 months ago
- PyTorch building blocks for the OLMo ecosystem☆64Updated this week
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆67Updated 9 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆57Updated last month
- ☆31Updated 8 months ago
- Make triton easier☆45Updated 8 months ago
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆35Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- Code for the examples presented in the talk "Training a Llama in your backyard: fine-tuning very large models on consumer hardware" given…☆14Updated last year
- ☆47Updated 6 months ago
- Train, tune, and infer Bamba model☆86Updated last month
- Large Scale Distributed Model Training strategy with Colossal AI and Lightning AI☆57Updated last year
- A place to store reusable transformer components of my own creation or found on the interwebs☆47Updated last week
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated last year
- ☆48Updated last year
- ☆75Updated 7 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆68Updated 11 months ago
- Truly flash T5 realization!☆63Updated 9 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆40Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆59Updated 4 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆82Updated last month
- ☆73Updated 10 months ago
- GoldFinch and other hybrid transformer components☆44Updated 7 months ago
- Linear Attention Sequence Parallelism (LASP)☆79Updated 8 months ago
- ☆29Updated 2 years ago
- ☆91Updated 9 months ago