Instruction Tuning Datasets Transformer Models
There are 23 instruction tuning datasets models tracked. The highest-rated is DaoD/INTERS at 40/100 with 207 stars.
Get all 23 projects as JSON
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| # | Model | Score | Tier |
|---|---|---|---|
| 1 |
DaoD/INTERS
This is the repository for our paper "INTERS: Unlocking the Power of Large... |
|
Emerging |
| 2 |
Haiyang-W/TokenFormer
[ICLR2025 Spotlightš„] Official Implementation of TokenFormer: Rethinking... |
|
Emerging |
| 3 |
declare-lab/instruct-eval
This repository contains code to quantitatively evaluate instruction-tuned... |
|
Emerging |
| 4 |
hkust-nlp/deita
Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024] |
|
Emerging |
| 5 |
kehanlu/DeSTA2
Code and model for ICASSP 2025 Paper "Developing Instruction-Following... |
|
Emerging |
| 6 |
TIGER-AI-Lab/VisualWebInstruct
The official repo for "VisualWebInstruct: Scaling up Multimodal Instruction... |
|
Experimental |
| 7 |
UCSC-REAL/TokenCleaning
[ICML 2025] Official implementation of paper "Token Cleaning: Fine-Grained... |
|
Experimental |
| 8 |
FengheTan9/LLM4Seg
[MICCAI 2025] Official code for "Pre-Trained LLM is a Semantic-Aware and... |
|
Experimental |
| 9 |
zhilizju/Awesome-instruction-tuning
A curated list of awesome instruction tuning datasets, models, papers and... |
|
Experimental |
| 10 |
declare-lab/Auto-Scaling
[Arxiv 2024] Official Implementation of the paper: "Towards Robust... |
|
Experimental |
| 11 |
TamSiuhin/P2P
source code for "Instant Personalized Large Language Model Adaptation via... |
|
Experimental |
| 12 |
RenzeLou/Muffin
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following |
|
Experimental |
| 13 |
cxcscmu/Montessori-Instruct
Official repository for Montessori-Instruct: Generate Influential Training... |
|
Experimental |
| 14 |
hplt-project/monolingual-multilingual-instruction-tuning
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca |
|
Experimental |
| 15 |
SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction... |
|
Experimental |
| 16 |
gentaiscool/few-shot-lm
The source code of "Language Models are Few-shot Multilingual Learners" (MRL... |
|
Experimental |
| 17 |
OSU-NLP-Group/QA4RE
[ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models... |
|
Experimental |
| 18 |
liziniu/GEM
Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large... |
|
Experimental |
| 19 |
ZifanL/TSDS
Implementation of TSDS: Data Selection for Task-Specific Model Finetuning.... |
|
Experimental |
| 20 |
zhuang-li/SCAR
[ACL 2025 main] SCAR: Data Selection via Style Consistency-Aware Response... |
|
Experimental |
| 21 |
yeyimilk/llm-zero-shot-classifiers
Large Language Models are zero-shot text classifiers; Smart Expert System:... |
|
Experimental |
| 22 |
OFA-Sys/DiverseEvol
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning |
|
Experimental |
| 23 |
dkopi/Bitune
Implementation of Bitune: Bidirectional Instruction-Tuning |
|
Experimental |