sholtodouglas / multihost_dataloadingLinks
Experimenting with how best to do multi-host dataloading
☆10Updated 2 years ago
Alternatives and similar repositories for multihost_dataloading
Users that are interested in multihost_dataloading are comparing it to the libraries listed below
Sorting:
- ☆61Updated 3 years ago
- ☆79Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆85Updated last year
- Automatically take good care of your preemptible TPUs☆36Updated 2 years ago
- An implementation of the Llama architecture, to instruct and delight☆21Updated last month
- Experiment of using Tangent to autodiff triton☆79Updated last year
- Two implementations of ZeRO-1 optimizer sharding in JAX☆14Updated 2 years ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆50Updated last year
- Minimal but scalable implementation of large language models in JAX☆35Updated last week
- Machine Learning eXperiment Utilities☆46Updated 2 weeks ago
- ☆20Updated 2 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆129Updated last year
- My explorations into editing the knowledge and memories of an attention network☆35Updated 2 years ago
- ☆20Updated last year
- Inference code for LLaMA models in JAX☆118Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Train very large language models in Jax.☆204Updated last year
- Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox.☆24Updated 9 months ago
- some common Huggingface transformers in maximal update parametrization (µP)☆81Updated 3 years ago
- ☆34Updated 10 months ago
- ☆48Updated last year
- RWKV model implementation☆38Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated 11 months ago
- A toolkit for scaling law research ⚖☆50Updated 5 months ago
- The official code of "Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers"☆19Updated 11 months ago
- ☆53Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆84Updated last year
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆66Updated 7 months ago