jianzhnie / awesome-instruction-datasets
A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
☆543Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-instruction-datasets
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆745Updated this week
- Aligning Large Language Models with Human: A Survey☆700Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆530Updated 8 months ago
- Official repository for ORPO☆421Updated 5 months ago
- Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient and high-quality s…☆495Updated 2 weeks ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆756Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆500Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆440Updated 8 months ago
- ☆1,385Updated this week
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆318Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆886Updated last month
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆309Updated last year
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,080Updated 10 months ago
- ☆453Updated this week
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆716Updated 6 months ago
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆460Updated 7 months ago
- distributed trainer for LLMs☆545Updated 6 months ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆541Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆384Updated 6 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆427Updated 4 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆560Updated 8 months ago
- Generative Representational Instruction Tuning☆567Updated this week
- All available datasets for Instruction Tuning of Large Language Models☆237Updated 11 months ago
- ☆432Updated last year
- Collection of training data management explorations for large language models☆287Updated 3 months ago
- ☆686Updated last month
- RewardBench: the first evaluation tool for reward models.☆437Updated last month
- Codebase for Merging Language Models (ICML 2024)☆774Updated 6 months ago
- ☆710Updated 5 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆315Updated 10 months ago