HKUNLP / ChunkLlamaLinks
[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
☆435Updated 11 months ago
Alternatives and similar repositories for ChunkLlama
Users that are interested in ChunkLlama are comparing it to the libraries listed below
Sorting:
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆473Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆345Updated 11 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆630Updated last year
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆254Updated 9 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆745Updated 11 months ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆382Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆207Updated this week
- ☆309Updated last year
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆149Updated last year
- ☆270Updated last year
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆266Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆399Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆566Updated 9 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆206Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆311Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆228Updated 6 months ago
- ☆315Updated 3 months ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆262Updated 2 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆184Updated 11 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆431Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆341Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆162Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆170Updated last year
- DSIR large-scale data selection framework for language model training☆258Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆349Updated last year
- ☆340Updated 3 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆225Updated this week
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆266Updated last year
- Rectified Rotary Position Embeddings☆381Updated last year