A model built to assist cybersecurity researchers and investigators. The following instructions have been trained: — Create a JSON artifact from the message — Identify this syslog message — Explain this syslog message A huge thank you to the Meta and Llama team for creating and releasing these models and to Unsloth for the optimizations. The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. Model Architecture: Llama 3.1 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. Training Data Params Input modalities Output modalities Context length GQA Token count Knowledge cutoff Llama 3.1 (text only) A new mix of publicly available…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: witfoo
Теги: llama, text2text-generation, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 23
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
