‼️ This model is still in a beta state. It will be retrained at a future data and updated, during which its prompting format may change. If you need to depend on it in its current state, please create your own fork and provide attribution to this original repository. ‼️ Llama Functions is a further fine-tuned version of Llama-2-7b-chat-hf, using a 50/50 mix of: 1. Synthetic OpenAPI function calls with their corresponding natural language invocation, and 2. Chat completions from the Guanaco subset of the OASST1 dataset. The function calling dataset is mixed with Guanaco in order to maintain accuracy and helpfulness when calling a function is not the appropriate response. Guidelines for use, more detailed information regarding limitations, and eval stats of 7B, 13B, and 70B models. There is no existing evaluation benchmark to measure the accuracy of function calls, which makes it hard during training to identify when we’ve maximized the balance of function calling accuracy and chat model performance. I’m working on a custom HF eval for this purpose, but until then I have chosen to mix the two datasets in equal parts to get a proxy of performance for both tasks in the eval & test…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: marclove
Теги: llama, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 9
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
