huggingface / large_language_model_training_playbookLinks
An open collection of implementation tips, tricks and resources for training large language models
☆482Updated 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.☆536Updated last year
- Pipeline for pulling and processing online language model pretraining data from the web☆177Updated 2 years ago
- Build, evaluate, understand, and fix LLM-based apps☆491Updated last year
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆574Updated last year
- Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.☆335Updated 10 months ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆462Updated 2 years ago
- A framework for few-shot evaluation of autoregressive language models.☆104Updated 2 years ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆256Updated 2 years ago
- LLM Workshop by Sourab Mangrulkar☆394Updated last year
- Scaling Data-Constrained Language Models☆342Updated 3 months ago
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆565Updated last year
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆209Updated last year
- Task-based datasets, preprocessing, and evaluation for sequence models.☆586Updated last month
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- Used for adaptive human in the loop evaluation of language and embedding models.☆307Updated 2 years ago
- This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as…☆356Updated 2 years ago
- Datasets collection and preprocessings framework for NLP extreme multitask learning☆188Updated 3 months ago
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆514Updated 8 months ago
- Annotations of the interesting ML papers I read☆261Updated last week
- batched loras☆346Updated 2 years ago
- Minimal code to train a Large Language Model (LLM).☆172Updated 3 years ago
- Crosslingual Generalization through Multitask Finetuning☆537Updated last year
- Reverse Instructions to generate instruction tuning data with corpus examples☆214Updated last year
- simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.☆399Updated 2 years ago
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆457Updated 2 years ago
- Fast Inference Solutions for BLOOM☆565Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆722Updated last year
- Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpe…☆436Updated 2 years ago
- experiments with inference on llama☆103Updated last year
- Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: …☆338Updated 2 years ago