1. Model Summary 2. Evaluation 3. Examples 4. Limitations 5. Training 6. License 7. Citation Cygnis Alpha Instruct is a professional, high-performance language model based on the SmolLM2-1.7B-Instruct architecture. Unlike basic quantizations, this version is a full-weight Fine-Tuned (SFT) model designed to bridge the gap between low-latency local inference and high-quality instruction following. This model has been specifically refined to embody a Sovereign AI identity, making it the perfect assistant for private, on-device deployment. It excels at following complex instructions, rewriting text, and maintaining a consistent persona. —————————|:———————:|:——————:|:———————-:| Cygnis Alpha Instruct primarily understands and generates content in English. While highly capable for its size (1.7B), it may struggle with highly specialized scientific tasks or very long-form reasoning compared to 70B+ models. — Architecture: Transformer Decoder (Llama-like) — Base Model: SmolLM2-1.7B-Instruct — Precision: bfloat16 — Alignment: Supervised Fine-Tuning via alignment-handbook. — Infrastructure: Trained using high-performance GPU clusters…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: cygnisai
Теги: tensorboard, onnx, llama, finetuned, sft, smollm2, sovereign-ai, transformers.js
Лайков: 3 | Загрузок: 118
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
