— Model Architecture: Phi3ForCausalLM — Input: Text — Output: Text — Model Optimizations: — Activation quantization: FP8 — Weight quantization: FP8 — Intended Use Cases: This model is designed to accelerate research on language models, for use as a building block for generative AI powered features. It provides uses for general purpose AI systems and applications (primarily in English) which require: 1. Memory/compute constrained environments. 2. Latency bound scenarios. 3. Reasoning and logic. — Out-of-scope: This model is not specifically designed or evaluated for all downstream purposes, thus: 1. Developers should consider common limitations of language models as they select use cases, and evaluate and mitigate for accuracy, safety, and fairness before using within a specific downstream use case, particularly for high-risk scenarios. 2. Developers should be aware of and adhere to applicable laws or regulations (including privacy, trade compliance laws, etc.) that are relevant to their use case, including the model’s focus on English. 3. Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the license the model is released…
Модальности:
Генерация текста
Области применения:
Генерация кода Математика Диалог / чат
Задача: Генерация текста
Автор: RedHatAI
Теги: phi3, phi, nlp, math, code, chat, conversational, neuralmagic
Лайков: 3 | Загрузок: 7,189
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
