yule-BUAA / MergeLMLinks
Codebase for Merging Language Models (ICML 2024)
☆861Updated last year
Alternatives and similar repositories for MergeLM
Users that are interested in MergeLM are comparing it to the libraries listed below
Sorting:
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆659Updated last year
- FuseAI Project☆584Updated 10 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆632Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆513Updated last year
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆662Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆894Updated 2 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆931Updated 9 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆750Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆996Updated 11 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆793Updated 8 months ago
- Official repository for ORPO☆467Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆524Updated 10 months ago
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,222Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆405Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆552Updated last year
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆447Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆389Updated last year
- Generative Representational Instruction Tuning☆679Updated 5 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆478Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,643Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆469Updated last year
- ☆556Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆576Updated 11 months ago
- Code for Quiet-STaR☆742Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆556Updated 10 months ago
- RewardBench: the first evaluation tool for reward models.☆660Updated 5 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆443Updated last year
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆532Updated last year
- Representation Engineering: A Top-Down Approach to AI Transparency☆917Updated last year
- Chat Templates for 🤗 HuggingFace Large Language Models☆706Updated 11 months ago