Alternatives and similar repositories for LLM-Adapters

Users that are interested in LLM-Adapters are comparing it to the libraries listed below

• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆768Updated 2 years ago
• WeOpenML / PandaLM
  ☆923Updated last year
• thunlp / OpenDelta
  A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
  ☆1,037Updated last year
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆739Updated 2 years ago
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,135Updated last year
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,760Updated last year
• MLGroupJLU / LLM-eval-survey
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  ☆1,584Updated 6 months ago
• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆871Updated last year
• AetherCortex / Llama-X
  Open Academic Research on Improving LLaMA to SOTA LLM
  ☆1,614Updated 2 years ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆659Updated 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.
  ☆552Updated last year
• HillZhang1999 / llm-hallucination-survey
  Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large …
  ☆1,066Updated 2 months ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆991Updated last year
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆505Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆811Updated 2 years ago
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆996Updated 11 months ago
• google-research / FLAN
  ☆1,554Updated last month
• google-research / distilling-step-by-step
  ☆565Updated 2 years ago
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆580Updated 2 years ago
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,024Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,136Updated last year
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,918Updated 3 months ago
• Timothyxxx / Chain-of-ThoughtsPapers
  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
  ☆2,089Updated 2 years ago
• ruixiangcui / AGIEval
  ☆768Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆632Updated last year
• zjunlp / Prompt4ReasoningPapers
  [ACL 2023] Reasoning with Language Model Prompting: A Survey
  ☆989Updated 6 months ago
• XiangLi1999 / PrefixTuning
  Prefix-Tuning: Optimizing Continuous Prompts for Generation
  ☆955Updated last year
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,636Updated last year
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,798Updated 5 months ago
• horseee / LLM-Pruner
  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…
  ☆1,083Updated last year