test-time-training / ttt-lm-kernelsLinks
Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden States
☆76Updated last year
Alternatives and similar repositories for ttt-lm-kernels
Users that are interested in ttt-lm-kernels are comparing it to the libraries listed below
Sorting:
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆134Updated last week
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…☆116Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Some preliminary explorations of Mamba's context scaling.☆218Updated last year
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆102Updated last year
- [ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization☆105Updated 6 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- ☆101Updated 10 months ago
- Official code for the paper "Attention as a Hypernetwork"☆46Updated last year
- M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models☆45Updated 5 months ago
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆232Updated 2 months ago
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆56Updated last year
- Linear Attention Sequence Parallelism (LASP)☆88Updated last year
- ☆260Updated 6 months ago
- The official github repo for "Diffusion Language Models are Super Data Learners".☆215Updated last month
- Code for paper "Patch-Level Training for Large Language Models"☆96Updated last month
- A repository for DenseSSMs☆88Updated last year
- 🔥 A minimal training framework for scaling FLA models☆324Updated last month
- ☆36Updated 9 months ago
- Stick-breaking attention☆62Updated 5 months ago
- ☆114Updated 3 months ago
- Here we will test various linear attention designs.☆62Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆126Updated 6 months ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆58Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆133Updated last month
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025☆31Updated 7 months ago
- DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)☆31Updated 8 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆111Updated 3 weeks ago
- ☆106Updated last year