microsoft / mttlLinks
Building modular LMs with parameter-efficient fine-tuning.
☆112Updated this week
Alternatives and similar repositories for mttl
Users that are interested in mttl are comparing it to the libraries listed below
Sorting:
- ☆185Updated last year
- ☆71Updated 3 years ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆89Updated 2 years ago
- ☆96Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆176Updated 3 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆174Updated last year
- ☆50Updated 3 months ago
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆132Updated last year
- Self-Alignment with Principle-Following Reward Models☆163Updated 3 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆46Updated last year
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆141Updated 10 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated 11 months ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Test-time-training on nearest neighbors for large language models☆45Updated last year
- ☆139Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- AI Logging for Interpretability and Explainability🔬☆125Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆112Updated last month
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated 2 weeks ago
- The Paper List on Data Contamination for Large Language Models Evaluation.☆98Updated 3 weeks ago
- ☆50Updated last year
- LLM-Merging: Building LLMs Efficiently through Merging☆202Updated 10 months ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆94Updated 3 years ago
- Learning adapter weights from task descriptions☆19Updated last year
- ☆99Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆122Updated 8 months ago
- ☆43Updated last year