smol-lm2-360-instruct is an instruction-tuned language model built by fine-tuning SmolLM2-360M Base on a cybersecurity instruction dataset. The objective is to improve the model’s ability to answer cybersecurity-related questions while following instruction-style prompts. > Note: This is an educational project for learning Instruction Fine-Tuning (IFT) and should not be considered a production-grade security assistant. — is intended for educational and research purposes — may generate incorrect or outdated cybersecurity advice — has not undergone safety alignment comparable to production LLMs — should not be used as the sole source for security decisions Always verify security recommendations with authoritative sources. — Hugging Face — SmolLM2 Team — Transformers — Datasets — PyTorch If you use this model in your work, please cite this repository.
Модальности:
Генерация текста
Области применения:
Следование инструкциям
Задача: Генерация текста
Автор: Aravindan
Теги: llama, cybersecurity, instruction-tuning, smollm2, causal-lm, llm, ai-security, en
Лайков: 3 | Загрузок: 25
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
