It seems fine but I should probably add some instruction prompts to the dataset or train it with a instruct dataset first and then train it with the RP stuff to make it better. Another thing to note is this was trained with regular LoRA (not quantized/QLoRA) so it should improve the quality a bit. This model’s context length is only 4096 so it’s trained on that too but I think you can use RoPE with it. LoRA rank was 128 and Alpha set to the same. Trained for 1 epoch. — Developed by: mpasila — License: apache-2.0 — Finetuned from model : LumiOpen/Viking-7B This llama model was trained 2x faster with Unsloth and Huggingface’s TRL library.
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: mpasila
Теги: llama, text-generation-inference, unsloth, trl, sft, conversational, en, fi
Лайков: 3 | Загрузок: 25
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
