Alternatives and similar repositories for lorahub

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

• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆396Updated last year
• 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
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆554Updated 5 months ago
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆824Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆461Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆809Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆526Updated 4 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆328Updated last year
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆454Updated last year
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆417Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆582Updated this week
• Cohere-Labs-Community / parameter-efficient-moe
  ☆258Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆489Updated 4 months ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆249Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆849Updated last week
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆561Updated last year
• TencentARC / LLaMA-Pro
  [ACL 2024] Progressive LLaMA with Block Expansion.
  ☆501Updated last year
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆651Updated last year
• xfactlab / orpo
  Official repository for ORPO
  ☆453Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆305Updated 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
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆135Updated last year
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,171Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆450Updated 7 months ago
• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆628Updated last year
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆250Updated last year
• 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
• yuchenlin / LLM-Blender
  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…
  ☆944Updated 7 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆809Updated 10 months ago