This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the OpenHermes-2.5 dataset. It is based on the Llama 3.2 architecture, which is an optimized transformer model designed for multilingual dialogue use cases, including agentic retrieval and summarization tasks. — Base Model: Meta Llama 3.2 1B — Fine-tuning Dataset: OpenHermes 2.5 — Architecture: Auto-regressive language model with optimized transformer architecture — Params: 1.23B — Context Length: 128k — Input/Output Modalities: Multilingual Text and code — Supported Languages: Primarily English, with potential for other languages supported by Llama 3.2 This model is intended for commercial and research use in multiple languages, particularly suited for assistant-like chat and agen It inherits the capabilities and limitations of both the Llama 3.2 1B base model and the OpenHermes 2.5 dataset. — Use that violates applicable laws or regulations — Use prohibited by the Acceptable Use Policy and Llama 3.2 Community License — Use in unsupported languages without proper evaluation and safety measures The model was fine-tuned on the OpenHermes…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: artificialguybr
Теги: llama, generated_from_trainer, fine-tuned, instruction-tuned, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 44
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
