Xirider / finetune-gpt2xl
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
☆437Updated last year
Alternatives and similar repositories for finetune-gpt2xl:
Users that are interested in finetune-gpt2xl are comparing it to the libraries listed below
- Repo for fine-tuning Casual LLMs☆453Updated 11 months ago
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment☆785Updated last year
- ☆129Updated 2 years ago
- Used for adaptive human in the loop evaluation of language and embedding models.☆306Updated 2 years ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆859Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆463Updated 2 years ago
- This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as…☆351Updated last year
- A search engine for ParlAI's BlenderBot project (and probably other ones as well)☆131Updated 3 years ago
- ☆457Updated last year
- ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.☆578Updated last year
- Prompt tuning toolkit for GPT-2 and GPT-Neo☆88Updated 3 years ago
- Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.☆471Updated last year
- Fast Inference Solutions for BLOOM☆562Updated 5 months ago
- Expanding natural instructions☆983Updated last year
- ☆182Updated last year
- Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.☆730Updated 2 years ago
- simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.☆394Updated last year
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆999Updated 7 months ago
- ☆34Updated 3 years ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆207Updated last year
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways☆819Updated 2 years ago
- Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.☆529Updated 7 months ago
- Crosslingual Generalization through Multitask Finetuning☆529Updated 6 months ago
- ☆536Updated last year
- Code for the ALiBi method for transformer language models (ICLR 2022)☆518Updated last year
- Tune any FALCON in 4-bit☆466Updated last year
- Fine-tuning GPT-2 Small for Question Answering☆129Updated 2 years ago
- Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-…☆555Updated 10 months ago
- EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"☆339Updated 4 months ago
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆179Updated 2 years ago