RAIVNLab / MatFormer-OLMoLinks
Code repository for the public reproduction of the language modelling experiments on "MatFormer: Nested Transformer for Elastic Inference"
☆30Updated 2 years ago
Alternatives and similar repositories for MatFormer-OLMo
Users that are interested in MatFormer-OLMo are comparing it to the libraries listed below
Sorting:
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- ☆91Updated last year
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated this week
- ☆60Updated 6 months ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆56Updated 10 months ago
- Here we will test various linear attention designs.☆62Updated last year
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆28Updated last year
- ☆64Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- ☆26Updated 2 years ago
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Updated 3 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated 2 months ago
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆20Updated 6 months ago
- ☆19Updated 11 months ago
- sigma-MoE layer☆20Updated last year
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆25Updated 2 years ago
- Are gradient information useful for pruning of LLMs?☆47Updated 4 months ago
- Repository for CPU Kernel Generation for LLM Inference☆27Updated 2 years ago
- This repository contains code for the MicroAdam paper.☆21Updated last year
- Code for paper "Patch-Level Training for Large Language Models"☆96Updated last month
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆52Updated last month
- [ICLR 2025] Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxia…☆27Updated 5 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 6 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year