GPT-2-dolly is an instruction fine-tuned model based on the GPT-2 transformer architecture. We use state-of-the-art Language Model Evaluation Harness to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results. Trained by: Luiz G A Alves Model type: GPT-2-dolly is an auto-regressive language model based on the GPT-2 transformer architecture. Language(s)**: English lgaalves/gpt2-dolly trained using the Databricks Dolly dataset databricks/databricks-dolly-15k. lgaalves/gpt2-dolly was instruction fine-tuned using LoRA on 1 T4 GPU on Google Colab. It took about 1.5 hours to train it. You can use the raw model for text generation or fine-tune it to a downstream task. The model was not extensively tested and may produce false information. It contains a lot of unfiltered content from the internet, which is far from neutral.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: lgaalves
Теги: gpt2, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 5,605
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
