This model is based on Mistral-7B-OpenOrca and fine tuned by some of Indonesia Wikipedia articles that I cleaned before. Leveraging QLoRA (QLora: Efficient Finetuning of Quantized LLMs), Merak-7B is able to run with 16 GB VRAM Licensed under Creative Commons-By Attribution-Share Alike-Non Commercial (CC-BY-SA-NC 4.0) Merak-7B empowers AI enthusiasts, researchers alike. Big thanks to all my friends and communities that help to build our first model. Thanks for Axolotl for a great fine tuning tool which designed to streamline the fine-tuning of various AI models. Feel free, to ask me about the model and please share the news on your social media. Please make sure you have installed CUDA driver in your system, Python 3.10 and PyTorch 2. Then install this library in terminal v4 = We use Mistral-7B-OpenOrca instead of Llama-2-Chat-HF. We did it throught uncounted trial-and-error. We pick the best one to do this model. What we have done so far: 1st). We fine tuned it with Wikipedia articles that we cleaned it before. It use QLora and speed up by Deepspeed Zero 2 for 1 epoch. Axolotl was used for easier fine tuning configuration. 2nd). We got extra funds. Thanks all.. We did it again…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Ichsan2895
Теги: mistral, conversational, id, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 40
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
