yule-BUAA / MergeLMLinks
Codebase for Merging Language Models (ICML 2024)
☆824Updated last year
Alternatives and similar repositories for MergeLM
Users that are interested in MergeLM are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆611Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆725Updated 8 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆635Updated 10 months ago
- FuseAI Project☆569Updated 4 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆651Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆895Updated 3 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆461Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Official repository for ORPO☆453Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆849Updated last week
- Generative Representational Instruction Tuning☆639Updated 2 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆454Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆501Updated last year
- A simple and effective LLM pruning approach.☆752Updated 9 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆526Updated 4 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆705Updated 2 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆554Updated 5 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆489Updated 4 months ago
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,155Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,489Updated last year
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)☆354Updated 4 months ago
- RewardBench: the first evaluation tool for reward models.☆582Updated this week
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,014Updated 7 months ago
- Implementation of DoRA☆294Updated 11 months ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆962Updated 5 months ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆831Updated 9 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆386Updated 10 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,534Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆697Updated last year