CLAIRE-Labo / RATLinks
Official code for the NeurIPS25 paper "RAT: Bridging RNN Efficiencyand Attention Accuracy in Language Modeling" (https://arxiv.org/abs/2507.04416))
☆21Updated 4 months ago
Alternatives and similar repositories for RAT
Users that are interested in RAT 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
- A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.☆55Updated 5 months ago
- Official code release for "SuperBPE: Space Travel for Language Models"☆76Updated 2 weeks ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆67Updated 7 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆91Updated 4 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Code for Zero-Shot Tokenizer Transfer☆142Updated 10 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆111Updated 7 months ago
- ☆58Updated 2 weeks ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆76Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated last month
- ☆53Updated last year
- A repository for research on medium sized language models.☆78Updated last year
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆35Updated 9 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- ☆89Updated last year
- ☆57Updated last year
- Minimum Description Length probing for neural network representations☆20Updated 10 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Aioli: A unified optimization framework for language model data mixing☆31Updated 10 months ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆24Updated 7 months ago
- Code and training scripts for FlexOlmo☆115Updated this week
- ☆82Updated last year
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆51Updated last month
- ☆48Updated last year
- Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok …☆27Updated last month
- State-of-the-art paired encoder and decoder models (17M-1B params)☆53Updated 4 months ago