xfactlab / orpoLinks
Official repository for ORPO
☆457Updated last year
Alternatives and similar repositories for orpo
Users that are interested in orpo are comparing it to the libraries listed below
Sorting:
- [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning☆357Updated 10 months ago
- ☆523Updated 7 months ago
- Generative Representational Instruction Tuning☆657Updated 2 weeks ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆463Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆728Updated 3 months ago
- The official evaluation suite and dynamic data release for MixEval.☆242Updated 8 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆865Updated 2 weeks ago
- RewardBench: the first evaluation tool for reward models.☆609Updated last month
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆421Updated 8 months ago
- FuseAI Project☆577Updated 5 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆618Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆502Updated 5 months ago
- Reproducible, flexible LLM evaluations☆215Updated 2 months ago
- Code for Quiet-STaR☆734Updated 10 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- ☆310Updated last year
- Automatic evals for LLMs☆461Updated 2 weeks ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆428Updated last year
- A project to improve skills of large language models☆456Updated this week
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆484Updated 10 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆244Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆505Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- ☆546Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆734Updated 9 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆656Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆343Updated last year