ContextualAI / HALOs
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
☆803Updated last week
Alternatives and similar repositories for HALOs:
Users that are interested in HALOs are comparing it to the libraries listed below
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆821Updated this week
- RewardBench: the first evaluation tool for reward models.☆505Updated this week
- Codebase for Merging Language Models (ICML 2024)☆795Updated 9 months ago
- Official repository for ICLR 2025 paper "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient an…☆630Updated last week
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆584Updated 11 months ago
- Official repository for ORPO☆437Updated 8 months ago
- Generative Representational Instruction Tuning☆596Updated last month
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,117Updated 9 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆412Updated 4 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆389Updated 9 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆701Updated 4 months ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆789Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆451Updated 11 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,377Updated 6 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆463Updated last month
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆541Updated 11 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆344Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆534Updated 2 months ago
- ☆496Updated 3 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆760Updated last year
- distributed trainer for LLMs☆557Updated 9 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆614Updated 6 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆329Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆546Updated last year
- A bibliography and survey of the papers surrounding o1☆1,155Updated 3 months ago
- Code for Quiet-STaR☆713Updated 5 months ago
- Recipes to train reward model for RLHF.☆1,177Updated last week
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆498Updated 3 weeks ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆794Updated 7 months ago