ClashLuke / SOAP
☆21Updated 4 months ago
Alternatives and similar repositories for SOAP:
Users that are interested in SOAP are comparing it to the libraries listed below
- research impl of Native Sparse Attention (2502.11089)☆53Updated last month
- supporting pytorch FSDP for optimizers☆80Updated 3 months ago
- ☆33Updated 6 months ago
- ☆19Updated last week
- ☆49Updated last year
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- Utilities for PyTorch distributed☆23Updated last month
- NanoGPT-speedrunning for the poor T4 enjoyers☆49Updated this week
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆17Updated 2 weeks ago
- ☆79Updated 11 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆44Updated 3 weeks ago
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆88Updated 8 months ago
- ☆53Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- https://x.com/BlinkDL_AI/status/1884768989743882276☆27Updated 2 months ago
- An implementation of the Llama architecture, to instruct and delight☆21Updated 2 months ago
- Combining SOAP and MUON☆13Updated last month
- A place to store reusable transformer components of my own creation or found on the interwebs☆48Updated last week
- ☆31Updated 10 months ago
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆26Updated 3 weeks ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆30Updated 3 months ago
- Collection of autoregressive model implementation☆83Updated last month
- gzip Predicts Data-dependent Scaling Laws☆34Updated 10 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆98Updated 3 months ago
- Focused on fast experimentation and simplicity☆70Updated 3 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆73Updated 8 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 9 months ago
- GoldFinch and other hybrid transformer components☆45Updated 8 months ago