p-lambda / dsirLinks
DSIR large-scale data selection framework for language model training
☆249Updated last year
Alternatives and similar repositories for dsir
Users that are interested in dsir are comparing it to the libraries listed below
Sorting:
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆326Updated 8 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆328Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆305Updated 8 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆174Updated 11 months ago
- ☆258Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆202Updated last year
- Scaling Data-Constrained Language Models☆334Updated 8 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆141Updated 7 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆461Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆344Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆264Updated 8 months ago
- All available datasets for Instruction Tuning of Large Language Models☆250Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 11 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆241Updated last year
- Self-Alignment with Principle-Following Reward Models☆161Updated 3 weeks ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆153Updated 8 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆261Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆340Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆378Updated 10 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆188Updated 9 months ago
- Unofficial implementation of AlpaGasus☆91Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆217Updated 2 months ago
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆312Updated 2 years ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆184Updated 2 months ago
- This project studies the performance and robustness of language models and task-adaptation methods.☆150Updated last year
- Simple next-token-prediction for RLHF☆226Updated last year
- Scalable training for dense retrieval models.☆292Updated 3 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆417Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆410Updated 7 months ago