Alternatives and similar repositories for lorahub

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

• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆850Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆400Updated 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.
  ☆547Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆631Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆270Updated last year
• TencentARC / LLaMA-Pro
  [ACL 2024] Progressive LLaMA with Block Expansion.
  ☆511Updated last year
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆570Updated 9 months ago
• fanqiwan / FuseAI
  FuseAI Project
  ☆584Updated 8 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆516Updated 8 months ago
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆549Updated 8 months ago
• TIGER-AI-Lab / MAmmoTH
  Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" [ICLR 2024]
  ☆375Updated last year
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆574Updated 2 years ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆463Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆888Updated this week
• xfactlab / orpo
  Official repository for ORPO
  ☆464Updated last year
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆661Updated last year
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆388Updated last year
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆341Updated last year
• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆628Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆473Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆640Updated 3 months ago
• google-research / distilling-step-by-step
  ☆560Updated 2 years ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆747Updated last year
• Re-Align / URIAL
  ☆312Updated 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"
  ☆1,204Updated last year
• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆516Updated last year
• ContextualAI / gritlm
  Generative Representational Instruction Tuning
  ☆674Updated 3 months ago
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆247Updated last year
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆434Updated last year
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆533Updated last year