0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation — Developed by: https://www.tii.ae — Model type: Causal decoder-only — Architecture: Hybrid Transformers + Mamba architecture — Language(s) (NLP): English — Number of Parameters: 90M — License: Falcon-LLM License For more details about the training protocol of this model, please refer to the Falcon-H1-Tiny technical blogpost. If you haven’t already, you can install the Transformers.js JavaScript library from NPM using: For detailed evaluation of Falcon-H1-Tiny series, please refer to our technical blogpost — View our release blogpost. — Feel free to join our discord server if you have any questions or to interact with our researchers and developers. If the Falcon-H1-Tiny family of models were helpful to your work, feel free to give us a cite.
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: onnx-community
Теги: transformers.js, onnx, falcon_h1, falcon-h1, edge, conversational
Лайков: 3 | Загрузок: 364
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
