Strivin0311 / long-llms-learningLinks
A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
☆265Updated last year
Alternatives and similar repositories for long-llms-learning
Users that are interested in long-llms-learning are comparing it to the libraries listed below
Sorting:
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆566Updated 9 months ago
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆247Updated 10 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆254Updated 8 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆272Updated 2 years ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆435Updated 10 months ago
- ☆322Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆345Updated 11 months ago
- Collaborative Training of Large Language Models in an Efficient Way☆416Updated last year
- Collection of training data management explorations for large language models☆333Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆266Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆341Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆473Updated last year
- A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or l…☆283Updated 2 years ago
- Rectified Rotary Position Embeddings☆381Updated last year
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆185Updated last month
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆185Updated 11 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆494Updated 10 months ago
- ☆309Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆157Updated last year
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆224Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆174Updated 2 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆630Updated last year
- Repository of LV-Eval Benchmark☆70Updated last year
- The related works and background techniques about Openai o1☆224Updated 8 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆399Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆112Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆349Updated last year
- Counting-Stars (★)☆83Updated 3 months ago
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆389Updated 2 months ago