test-time-training / ttt-lm-kernelsLinks
Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden States
☆80Updated 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 3 weeks ago
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…☆119Updated last year
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆104Updated 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
- Linear Attention Sequence Parallelism (LASP)☆88Updated last year
- Some preliminary explorations of Mamba's context scaling.☆217Updated last year
- ☆115Updated 4 months ago
- Official code for the paper "Attention as a Hypernetwork"☆47Updated last year
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆234Updated 3 months ago
- ☆265Updated 7 months ago
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆57Updated last year
- implementations and experimentation on mHC by deepseek - https://arxiv.org/abs/2512.24880☆242Updated last week
- ☆103Updated 10 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆96Updated 2 months ago
- A repository for DenseSSMs☆88Updated last year
- Stick-breaking attention☆62Updated 6 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated 2 months ago
- [ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization☆105Updated 7 months ago
- ☆36Updated 10 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆112Updated this week
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- The official github repo for "Diffusion Language Models are Super Data Learners".☆217Updated 2 months ago
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆128Updated 6 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models☆47Updated 6 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆29Updated last year
- [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models☆128Updated 7 months ago
- Defeating the Training-Inference Mismatch via FP16☆176Updated 2 months ago
- 🔥 A minimal training framework for scaling FLA models☆335Updated 2 months ago