microsoft / AdaMixLinks
This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).
☆133Updated last year
Alternatives and similar repositories for AdaMix
Users that are interested in AdaMix are comparing it to the libraries listed below
Sorting:
- ☆129Updated 2 years ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆61Updated 3 years ago
- The original Backpack Language Model implementation, a fork of FlashAttention☆69Updated 2 years ago
- contrastive decoding☆201Updated 2 years ago
- [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation☆119Updated 2 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- ☆137Updated 11 months ago
- DEMix Layers for Modular Language Modeling☆53Updated 3 years ago
- ☆95Updated last year
- A framework for few-shot evaluation of autoregressive language models.☆104Updated 2 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆47Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 9 months ago
- Retrieval as Attention☆82Updated 2 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 11 months ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆107Updated 3 years ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆89Updated last year
- ☆86Updated 2 years ago
- DSIR large-scale data selection framework for language model training☆251Updated last year
- Code for Zero-Shot Tokenizer Transfer☆133Updated 5 months ago
- ☆97Updated last year
- The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".☆70Updated last year
- ☆34Updated 2 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 2 years ago
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning☆98Updated 2 years ago
- ☆51Updated last year
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆46Updated last year
- Transformers at any scale☆41Updated last year
- ☆74Updated last year