— Developed by: TroyDoesAI — License: apache-2.0 — Finetuned from model : TroyDoesAI/BlackSheep-Llama3.2-3B This llama model was trained 2x faster with Unsloth and Huggingface’s TRL library. Overview This model is meant to enhance adherence to provided context (e.g., for RAG applications) and reduce hallucinations, inspired by airoboros context-obedient question answer format. I know it’s a bit verbose and annoying, but after much trial and error, using these explicit delimiters helps the model understand where to find the responses and how to associate specific sources with it. — BEGININPUT — denotes a new input block — BEGINCONTEXT — denotes the block of context (metadata key/value pairs) to associate with the current input block — ENDCONTEXT — denotes the end of the metadata block for the current input — [text] — Insert whatever text you want for the input block, as many paragraphs as can fit in the context. — ENDINPUT — denotes the end of the current input block — [repeat as many input blocks in this format as you want] — BEGININSTRUCTION — denotes the start of the list (or one) instruction(s) to respond to for all of the input blocks above. — [instruction(s)] — ENDINSTRUCTION…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: TroyDoesAI
Теги: llama, text-generation-inference, unsloth, trl, conversational, en, endpoints_compatible
Лайков: 3 | Загрузок: 34
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
