davisyoshida / abnormal-floatsLinks
Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)
☆19Updated 2 years ago
Alternatives and similar repositories for abnormal-floats
Users that are interested in abnormal-floats are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- ☆48Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆37Updated last year
- ☆13Updated last month
- Code for the paper "Function-Space Learning Rates"☆20Updated last month
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆75Updated 8 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Awesome Triton Resources☆32Updated 2 months ago
- Utilities for Training Very Large Models☆58Updated 9 months ago
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- Minimum Description Length probing for neural network representations☆18Updated 5 months ago
- ☆26Updated last year
- [NeurIPS 2024] Low rank memory efficient optimizer without SVD☆30Updated 2 weeks ago
- AdamW optimizer for bfloat16 models in pytorch 🔥.☆33Updated last year
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆13Updated 3 months ago
- ☆53Updated 9 months ago
- Here we will test various linear attention designs.☆60Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- ☆80Updated last year
- Experiment of using Tangent to autodiff triton☆79Updated last year
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆59Updated 3 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆77Updated last year
- ☆20Updated last year
- ☆53Updated last year