Cohere-Labs-Community / parameter-efficient-moeLinks
☆258Updated last year
Alternatives and similar repositories for parameter-efficient-moe
Users that are interested in parameter-efficient-moe are comparing it to the libraries listed below
Sorting:
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆461Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 11 months ago
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆195Updated 10 months ago
- DSIR large-scale data selection framework for language model training☆249Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆143Updated 8 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆202Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆410Updated 7 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆264Updated 8 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆326Updated 8 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆417Updated last year
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆184Updated 2 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆249Updated 5 months ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆217Updated 2 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆106Updated 3 months ago
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆178Updated 6 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆328Updated last year
- A Survey on Data Selection for Language Models☆233Updated last month
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆160Updated 11 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆489Updated 4 months ago
- ☆222Updated 11 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆155Updated last week
- A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨☆218Updated last year
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆178Updated 8 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆305Updated 8 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆153Updated 8 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆184Updated 7 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆141Updated 7 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆378Updated 10 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