xfactlab / orpoLinks
Official repository for ORPO
☆468Updated last year
Alternatives and similar repositories for orpo
Users that are interested in orpo are comparing it to the libraries listed below
Sorting:
- ☆558Updated last year
- [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning☆366Updated last year
- Generative Representational Instruction Tuning☆680Updated 5 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆896Updated 2 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆478Updated last year
- The official evaluation suite and dynamic data release for MixEval.☆253Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆798Updated 9 months ago
- RewardBench: the first evaluation tool for reward models.☆670Updated 6 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆406Updated last year
- Reproducible, flexible LLM evaluations☆305Updated last month
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆368Updated last year
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆500Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆514Updated last year
- Code for Quiet-STaR☆742Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆532Updated 11 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆252Updated 2 years ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆452Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆446Updated last year
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆662Updated last year
- ☆570Updated 2 years ago
- Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"☆315Updated 2 years ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆634Updated last year
- ☆313Updated last year
- Benchmarking LLMs with Challenging Tasks from Real Users☆246Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆389Updated last year
- ☆272Updated 2 years ago
- FuseAI Project☆583Updated 10 months ago
- Automatic evals for LLMs☆567Updated 5 months ago