microsoft / AdaMix
This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).
☆131Updated last year
Alternatives and similar repositories for AdaMix
Users that are interested in AdaMix are comparing it to the libraries listed below
Sorting:
- ☆128Updated 2 years ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- contrastive decoding☆199Updated 2 years ago
- The original Backpack Language Model implementation, a fork of FlashAttention☆67Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆135Updated last year
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆100Updated 2 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆46Updated last year
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆59Updated 3 years ago
- Self-Alignment with Principle-Following Reward Models☆161Updated last week
- ☆130Updated 9 months ago
- ☆95Updated 11 months ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆89Updated last year
- ☆85Updated 2 years ago
- Retrieval as Attention☆83Updated 2 years ago
- ☆125Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆71Updated 2 years ago
- A framework for few-shot evaluation of autoregressive language models.☆103Updated 2 years ago
- ☆177Updated last year
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆167Updated 3 years ago
- Progressive Prompts: Continual Learning for Language Models☆93Updated 2 years ago
- ☆50Updated last year
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 9 months ago
- ☆98Updated 7 months ago
- Randomized Positional Encodings Boost Length Generalization of Transformers☆81Updated last year
- The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".☆69Updated last year
- DSIR large-scale data selection framework for language model training☆247Updated last year
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Unofficial implementation of AlpaGasus☆91Updated last year
- ☆18Updated 10 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆109Updated last year