The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1. For full details of this model please read our paper and release blog post. In order to leverage instruction fine-tuning, your prompt should be surrounded by [INST] and [/INST] tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id. This format is available as a chat template via the applychattemplate() method: This instruction model is based on Mistral-7B-v0.1, a transformer model with the following architecture choices: — Grouped-Query Attention — Sliding-Window Attention — Byte-fallback BPE tokenizer Installing transformers from source should solve the issue pip install git+https://github.com/huggingface/transformers The Mistral 7B Instruct model is a quick demonstration that the base model can be eas It does not have any moderation mechanisms. We’re looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: lachiewyoung
Теги: mistral, finetuned, conversational, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
