srush / mamba-primerLinks
☆38Updated last year
Alternatives and similar repositories for mamba-primer
Users that are interested in mamba-primer are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- ☆48Updated last year
- ☆53Updated last year
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆133Updated 10 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Understand and test language model architectures on synthetic tasks.☆238Updated last month
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆65Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- ☆87Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆52Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆171Updated 4 months ago
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆81Updated 9 months ago
- ☆56Updated last year
- Awesome Triton Resources☆36Updated 6 months ago
- nanoGPT-like codebase for LLM training☆110Updated last week
- Stick-breaking attention☆61Updated 4 months ago
- ☆166Updated 2 years ago
- ☆33Updated last year
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆64Updated 6 months ago
- A toolkit for scaling law research ⚖☆53Updated 9 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆17Updated 8 months ago
- Efficient PScan implementation in PyTorch☆17Updated last year
- ☆41Updated 2 weeks ago
- ☆35Updated last year
- 📄Small Batch Size Training for Language Models☆63Updated last month