An OpenLlama-3B finetune for role-play, instruction following, and code generation For a guide on how this was fine tuned, check out this blog post. OpenHermes-Lllama3B** is a finetune of the Hermes dataset that has a fully open source dataset! It was trained on 15,000 entries of primarily GPT-4 generated data, from open datasets across the AI landscape, including: — GPTeacher — General Instruct, Roleplay v1, Roleplay v2, and Code Instruct Datasets, by Teknium — WizardLM (v1, evol_instruct 70k), by WizardLM Team/nlpxucan — Airoboros GPT-4 (v1.0), by JonDurbin — Camel-AI’s domain expert datasets, by the Camel-AI Team — CodeAlpaca, by Sahil2801 — GPT4-LLM and Unnatural Instructions, by Microsoft OpenHermes-Lllama-3B h You can see the before and after outputs comparison below. I am happy to help you create an itinery for Italy for 3 days. Here is an example itinery: Day 1: Afternoon: Visit the Colosseum, the Roman Forum, and the Pantheon. Evening: Have a dinner at a local restaurant and enjoy the nightlife in Rome. Morning: Visit the Vatican Museums, St. Peter’s…
Модальности:
Генерация текста
Области применения:
Следование инструкциям
Задача: Генерация текста
Автор: cfahlgren1
Теги: llama, llama-2, instruct, finetune, alpaca, gpt4, synthetic data, distillation
Лайков: 3 | Загрузок: 20
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
