sangmichaelxie / doremiLinks
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
☆340Updated last year
Alternatives and similar repositories for doremi
Users that are interested in doremi are comparing it to the libraries listed below
Sorting:
- DSIR large-scale data selection framework for language model training☆258Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆398Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆476Updated 10 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆267Updated 11 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆347Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆566Updated 8 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- RewardBench: the first evaluation tool for reward models.☆624Updated 2 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆309Updated 11 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆470Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆345Updated 11 months ago
- ☆269Updated last year
- ☆339Updated 2 months ago
- ☆279Updated 7 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆355Updated last year
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆265Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆506Updated 7 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆139Updated 3 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- Rectified Rotary Position Embeddings☆381Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆435Updated 10 months ago
- RLHF implementation details of OAI's 2019 codebase☆189Updated last year
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆268Updated 2 years ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆269Updated 2 years ago
- Datasets for Instruction Tuning of Large Language Models☆255Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆630Updated last year
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆314Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆185Updated last year
- ☆303Updated last year
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆253Updated 8 months ago