The OpenBezoar-SFT is an instruction-tuned version of Open LlaMA 3B v2 with Q-LoRA on three of our custom datasets synthetically generated from h2ogpt-gm-oasst1-en-2048-falcon-40b-v2. — Base model: Open LlaMA 3B v2 — LoRA configuration: — r: 16 — alpha: 16 — dropout: 0.05 — target modules: [qproj, vproj, k_proj] — Datasets used for instruction tuning: — LaMini — Orca — Evol-Instruct OpenBezoar-SFT is built upon the Open Llama 3B v2 architecture and has been fine-tuned to improve its instruction-following abilities. We follow a modified version of the Alpaca prompt template as shown below. It is important to utilize this template in order to obtain best responses for instruction related tasks. Notice that no end-of-sentence (eos) token is being appended. Refer to our self-reported evaluations in our paper (Section 4). — The model might not consistently show improved abilities to follow instructions, and it could respond inappropriately or get stuck in loops. — This model is not aligned to human preferences and therefore it may generate harmful and uncensored content. — Caution is urged against relying on this model for production or adjacent use-cases. If you find our work useful,…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: SurgeGlobal
Теги: llama, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 66
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
