Alternatives and similar repositories for orpo

Users that are interested in orpo are comparing it to the libraries listed below

• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆582Updated this week
• tianyi-lab / Reflection_Tuning
  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  ☆352Updated 8 months ago
• magpie-align / magpie
  [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …
  ☆705Updated 2 months ago
• huggingface / cosmopedia
  ☆517Updated 6 months ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆849Updated last week
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆461Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆489Updated 4 months ago
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆396Updated last year
• ContextualAI / gritlm
  Generative Representational Instruction Tuning
  ☆639Updated 2 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆725Updated 8 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆611Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆546Updated last year
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆417Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆360Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆895Updated 3 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆344Updated last year
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆203Updated 3 weeks ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆410Updated 7 months ago
• ezelikman / quiet-star
  Code for Quiet-STaR
  ☆732Updated 9 months ago
• JinjieNi / MixEval
  The official evaluation suite and dynamic data release for MixEval.
  ☆241Updated 6 months ago
• NVIDIA / NeMo-Aligner
  Scalable toolkit for efficient model alignment
  ☆803Updated last week
• huggingface / Math-Verify
  ☆719Updated last month
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆241Updated last year
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆554Updated 5 months ago
• fanqiwan / FuseAI
  FuseAI Project
  ☆569Updated 4 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆635Updated 10 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆340Updated last year
• mlfoundations / evalchemy
  Automatic evals for LLMs
  ☆399Updated this week
• Cohere-Labs-Community / parameter-efficient-moe
  ☆258Updated last year
• Re-Align / URIAL
  ☆309Updated 11 months ago