gnovack / distributed-training-and-deepspeed
☆17Updated last year
Alternatives and similar repositories for distributed-training-and-deepspeed:
Users that are interested in distributed-training-and-deepspeed are comparing it to the libraries listed below
- Code for NeurIPS LLM Efficiency Challenge☆55Updated 10 months ago
- Various transformers for FSDP research☆35Updated 2 years ago
- A place to store reusable transformer components of my own creation or found on the interwebs☆44Updated this week
- ☆19Updated 2 years ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆116Updated 6 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
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆67Updated 8 months ago
- a pipeline for using api calls to agnostically convert unstructured data into structured training data☆29Updated 4 months ago
- ☆47Updated 5 months ago
- ☆88Updated 8 months ago
- ☆38Updated 9 months ago
- ☆48Updated last year
- ☆24Updated 3 weeks ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆56Updated 3 weeks ago
- Experiment of using Tangent to autodiff triton☆75Updated last year
- experiments with inference on llama☆104Updated 8 months ago
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆64Updated 2 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆68Updated 10 months ago
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆81Updated last year
- ☆24Updated last year
- ☆21Updated 3 months ago
- Code for studying the super weight in LLM☆79Updated 2 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆64Updated 5 months ago
- See https://github.com/cuda-mode/triton-index/ instead!☆11Updated 9 months ago
- minimal pytorch implementation of bm25 (with sparse tensors)☆97Updated 11 months ago
- Learn CUDA with PyTorch☆16Updated 2 weeks ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆93Updated 2 years ago
- some common Huggingface transformers in maximal update parametrization (µP)☆78Updated 2 years ago
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆80Updated 7 months ago