NONET is a family of offline, quantized large language models fine-tuned for question answering with direct, concise answers. Designed for local execution using llama.cpp, NONET is available in multiple sizes and optimized for Android or Python-based environments. NONET is intended for lightweight offline use, particularly on local devices like mobile phones or single-board computers. The models have been fine-tuned for direct-answer QA and quantized to int8 (q80) using llama.cpp`. — Developed by: McaTech (Michael Cobol Agan) — Model type: Causal decoder-only transformer — Languages: English — License: Apache 2.0 — Finetuned from: — Smollm (135M, 300M variants) — LLaMA 3.2 (1B, 3B variants) — Offline QA chatbot — Local assistants (no internet required) — Embedded Android or Python apps — Long-form text generation — Tasks requiring real-time web access — Creative storytelling or coding tasks NONET may reproduce biases present in its base models or fine-tuning data. Outputs should not be relied upon for sensitive or critical decisions. — Validate important responses — Choose model size based on your device capability — Avoid over-reliance for personal or legal advice Finetuning…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: McaTech
Теги: llama.cpp, gguf, quantized, int8, offline-ai, local-llm, chatnonet, en
Лайков: 3 | Загрузок: 422
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
