Alternatives and similar repositories for torchrunx

Users that are interested in torchrunx are comparing it to the libraries listed below

• cloneofsimo / min-fsdp
  ☆83Updated last year
• eth-easl / fmengine
  Utilities for Training Very Large Models
  ☆58Updated 10 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆130Updated last year
• thecharlieblake / lovely-llama
  An implementation of the Llama architecture, to instruct and delight
  ☆21Updated 2 months ago
• mgmalek / efficient_cross_entropy
  ☆114Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆59Updated this week
• cat-state / tinypar
  ☆20Updated 2 years ago
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆43Updated 7 months ago
• google-research-datasets / QAmeleon
  QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…
  ☆34Updated last year
• RobertCsordas / moeut
  ☆83Updated 11 months ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆35Updated 2 years ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆82Updated 3 years ago
• warner-benjamin / optimi
  Fast, Modern, and Low Precision PyTorch Optimizers
  ☆103Updated last week
• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated 11 months ago
• epfml / DenseFormer
  ☆81Updated last year
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆127Updated 11 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆70Updated last year
• facebookresearch / Mixture-of-Transformers
  Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. TMLR 2025.
  ☆88Updated 2 months ago
• jiasenlu / LL3M
  LL3M: Large Language and Multi-Modal Model in Jax
  ☆72Updated last year
• HomebrewML / Olmax
  HomebrewNLP in JAX flavour for maintable TPU-Training
  ☆50Updated last year
• huggingface / chug
  Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
  ☆158Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆77Updated 9 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 10 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆220Updated this week
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 3 months ago
• cloneofsimo / zeroshampoo
  ☆34Updated 10 months ago
• NathanGodey / headless-lm
  Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…
  ☆27Updated last year
• ClashLuke / tpucare
  Automatically take good care of your preemptible TPUs
  ☆36Updated 2 years ago
• lucidrains / self-reasoning-tokens-pytorch
  Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto
  ☆56Updated last year