sjelassi / transformers_ssm_copy
☆31Updated last year
Alternatives and similar repositories for transformers_ssm_copy
Users that are interested in transformers_ssm_copy are comparing it to the libraries listed below
Sorting:
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Stick-breaking attention☆53Updated 2 months ago
- ☆54Updated 10 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆72Updated last month
- ☆47Updated last year
- ☆52Updated 11 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆72Updated 6 months ago
- Long Context Extension and Generalization in LLMs☆55Updated 7 months ago
- ☆85Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated 8 months ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 11 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆29Updated last month
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆14Updated 8 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆51Updated 2 years ago
- ☆19Updated 10 months ago
- ☆32Updated last year
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆64Updated last year
- ☆19Updated 2 years ago
- ☆23Updated 7 months ago
- ☆20Updated 11 months ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 2 weeks ago
- Exploration of automated dataset selection approaches at large scales.☆40Updated 2 months ago
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆55Updated 3 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆17Updated this week
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆71Updated 2 years ago
- Repo for ACL2023 Findings paper "Emergent Modularity in Pre-trained Transformers"☆23Updated last year
- Here we will test various linear attention designs.☆60Updated last year
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated 10 months ago