cat-state / tinypar
☆20Updated last year
Alternatives and similar repositories for tinypar:
Users that are interested in tinypar are comparing it to the libraries listed below
- ☆75Updated 7 months ago
- 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
- HomebrewNLP in JAX flavour for maintable TPU-Training☆48Updated last year
- ☆91Updated 8 months ago
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆30Updated 2 months ago
- ☆53Updated last year
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆82Updated 7 months ago
- ☆22Updated last year
- Minimal but scalable implementation of large language models in JAX☆32Updated 3 months ago
- ☆58Updated 2 years ago
- A toolkit for scaling law research ⚖☆47Updated 3 weeks ago
- ☆49Updated 11 months ago
- This repository contains code for cleaning your training data of benchmark data to help combat data snooping.☆25Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆78Updated 2 years ago
- Experiment of using Tangent to autodiff triton☆75Updated last year
- ☆51Updated 9 months ago
- A place to store reusable transformer components of my own creation or found on the interwebs☆46Updated this week
- ☆19Updated 4 months ago
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆81Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆62Updated 6 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆68Updated 10 months ago
- Checkpointable dataset utilities for foundation model training☆32Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆17Updated last week
- ☆42Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆122Updated 10 months ago
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆115Updated last year
- Inference code for LLaMA models in JAX☆114Updated 9 months ago
- A library for squeakily cleaning and filtering language datasets.☆46Updated last year