ldery / BonsaiLinks
Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
☆28Updated last year
Alternatives and similar repositories for Bonsai
Users that are interested in Bonsai are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆92Updated last week
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆119Updated last year
- Code for paper "Patch-Level Training for Large Language Models"☆86Updated 8 months ago
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆85Updated 7 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆88Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Official Pytorch Implementation of Paper "DarwinLM: Evolutionary Structured Pruning of Large Language Models"☆15Updated 5 months ago
- ☆82Updated 6 months ago
- ☆95Updated 3 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- ☆19Updated 7 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆53Updated 2 years ago
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆102Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 10 months ago
- Are gradient information useful for pruning of LLMs?☆46Updated last year
- ☆106Updated last year
- ☆10Updated 10 months ago
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆18Updated last month
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆52Updated 5 months ago
- Sparse Backpropagation for Mixture-of-Expert Training☆30Updated last year
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆61Updated 3 weeks ago
- Kinetics: Rethinking Test-Time Scaling Laws☆70Updated 3 weeks ago
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆29Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆91Updated 8 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆46Updated 2 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated last year
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆122Updated 6 months ago