sail-sg / lorahub
[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
☆625Updated 8 months ago
Alternatives and similar repositories for lorahub:
Users that are interested in lorahub are comparing it to the libraries listed below
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆394Updated 10 months ago
- Codebase for Merging Language Models (ICML 2024)☆811Updated 11 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆478Updated 2 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆829Updated 3 weeks ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆648Updated 10 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆448Updated 11 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆457Updated last year
- All available datasets for Instruction Tuning of Large Language Models☆248Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆555Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆600Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆516Updated 2 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆546Updated 4 months ago
- RewardBench: the first evaluation tool for reward models.☆547Updated last month
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆481Updated 9 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆385Updated 9 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆629Updated last year
- Official repository for LongChat and LongEval☆518Updated 10 months ago
- [ACL 2024] Progressive LLaMA with Block Expansion.☆499Updated 10 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆338Updated last year
- ☆255Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆427Updated 5 months ago
- [NIPS2023] RRHF & Wombat☆806Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆805Updated 9 months ago
- batched loras☆341Updated last year
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆405Updated 11 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆931Updated 5 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆237Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆301Updated 7 months ago
- Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)☆365Updated 7 months ago