Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash (more details in the Blogpost). The model can be queried: — As instruct, for instance to answer any questions about a code snippet (write documentation, explain, factorize) or to generate code following specific indications — As Fill in the Middle (FIM), to predict the middle tokens between a prefix and a suffix (very useful for software development add-ons like in VS Code) It is recommended to use mistralai/Codestral-22B-v0.1 with mistral-inference. After installing mistralinference, a mistral-chat` CLI command should be available in your environment. Will generate an answer to «Write me a function that computes fibonacci in Rust» and should give something along the following lines: After installing mistralinference and running pip install —upgrade mistralcommon to make sure to have mistral_common>=1.2 installed: The Codestral-22B-v0.1 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:
Генерация кода
Задача: Генерация текста
Автор: bullerwins
Теги: mistral, code, text-generation-inference, 8-bit, exl2
Лайков: 3 | Загрузок: 23
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
