huggingface / large_language_model_training_playbookLinks
An open collection of implementation tips, tricks and resources for training large language models
☆475Updated 2 years ago
Alternatives and similar repositories for large_language_model_training_playbook
Users that are interested in large_language_model_training_playbook are comparing it to the libraries listed below
Sorting:
- An open collection of methodologies to help with successful training of large language models.☆494Updated last year
- Build, evaluate, understand, and fix LLM-based apps☆489Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 2 years ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆257Updated last year
- Used for adaptive human in the loop evaluation of language and embedding models.☆309Updated 2 years ago
- Scaling Data-Constrained Language Models☆335Updated 9 months ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆563Updated last year
- Crosslingual Generalization through Multitask Finetuning☆536Updated 9 months ago
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆561Updated last year
- Task-based datasets, preprocessing, and evaluation for sequence models.☆576Updated last month
- Code for fine-tuning Platypus fam LLMs using LoRA☆629Updated last year
- batched loras☆343Updated last year
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆573Updated last year
- Reverse Instructions to generate instruction tuning data with corpus examples☆213Updated last year
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆208Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆698Updated last year
- Expanding natural instructions☆1,002Updated last year
- All available datasets for Instruction Tuning of Large Language Models☆252Updated last year
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆313Updated 2 years ago
- This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as…☆352Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆538Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- ☆520Updated 7 months ago
- Ask Me Anything language model prompting☆546Updated last year
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆503Updated 4 months ago
- OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA☆302Updated 2 years ago
- A bagel, with everything.☆321Updated last year
- Pipeline for pulling and processing online language model pretraining data from the web☆178Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆451Updated last year
- Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.☆330Updated 6 months ago