ClashLuke / tpucare
Automatically take good care of your preemptible TPUs
☆36Updated last year
Alternatives and similar repositories for tpucare:
Users that are interested in tpucare are comparing it to the libraries listed below
- HomebrewNLP in JAX flavour for maintable TPU-Training☆48Updated last year
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆30Updated 2 months ago
- ☆33Updated 5 months ago
- ☆53Updated last year
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆17Updated last week
- ☆75Updated 7 months ago
- some common Huggingface transformers in maximal update parametrization (µP)☆78Updated 2 years ago
- Implementation of PSGD optimizer in JAX☆28Updated last month
- Experiment of using Tangent to autodiff triton☆75Updated last year
- ☆19Updated 4 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆122Updated 10 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 8 months ago
- ☆31Updated 3 weeks ago
- LoRA for arbitrary JAX models and functions☆135Updated 11 months ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆44Updated 8 months ago
- An implementation of the Llama architecture, to instruct and delight☆21Updated last month
- supporting pytorch FSDP for optimizers☆76Updated 2 months ago
- Latent Diffusion Language Models☆68Updated last year
- If it quacks like a tensor...☆56Updated 3 months ago
- FID computation in Jax/Flax.☆27Updated 7 months ago
- Utilities for PyTorch distributed☆23Updated last year
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆73Updated 6 months ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆59Updated 2 years ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆43Updated 7 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 3 weeks ago
- ☆20Updated last year
- ☆52Updated 4 months ago
- Amos optimizer with JEstimator lib.☆81Updated 9 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year