for-ai / parameter-efficient-moe
☆253Updated last year
Alternatives and similar repositories for parameter-efficient-moe:
Users that are interested in parameter-efficient-moe are comparing it to the libraries listed below
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆456Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆394Updated 10 months ago
- DSIR large-scale data selection framework for language model training☆244Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 9 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆142Updated 6 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆398Updated 5 months ago
- A Survey on Data Selection for Language Models☆220Updated 5 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆299Updated 6 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆205Updated 10 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆406Updated 11 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆317Updated last year
- Self-Alignment with Principle-Following Reward Models☆156Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆137Updated 5 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆252Updated 6 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆476Updated 2 months ago
- ☆144Updated 3 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆545Updated 3 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆147Updated 7 months ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆204Updated 3 weeks ago
- ☆131Updated 8 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆171Updated last month
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆180Updated 8 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆315Updated 6 months ago
- RewardBench: the first evaluation tool for reward models.☆537Updated last month
- ☆172Updated last year
- ☆264Updated 8 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆249Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆155Updated 9 months ago
- ☆89Updated 3 weeks ago
- A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨☆195Updated 11 months ago