Strivin0311 / long-llms-learning
A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
☆262Updated 9 months ago
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]☆554Updated 5 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆324Updated 7 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆377Updated 10 months ago
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆240Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆461Updated last year
- ☆280Updated 9 months ago
- A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or l…☆280Updated last year
- LongBench v2 and LongBench (ACL 2024)☆870Updated 4 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆408Updated 7 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆258Updated last year
- ☆319Updated 10 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆261Updated 8 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆249Updated 5 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆183Updated 7 months ago
- The related works and background techniques about Openai o1☆221Updated 4 months ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 11 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆443Updated 6 months ago
- Collaborative Training of Large Language Models in an Efficient Way☆415Updated 8 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆324Updated last year
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆219Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆960Updated 5 months ago
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆365Updated 8 months ago
- Rectified Rotary Position Embeddings☆367Updated 11 months ago
- Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat☆115Updated last year
- ☆328Updated 3 months ago
- Naive Bayes-based Context Extension☆326Updated 5 months ago
- Collection of training data management explorations for large language models☆323Updated 9 months ago
- LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment☆332Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆608Updated last year
- ☆257Updated last year