— Developed by: HumanF-MarkrAI — Model type: Ko-Mistral-7B — Language(s): Korean — Context Length: 8192 — License: cc-by-nc-4.0 — Finetuned from model: mistralai/Mistral-7B-Instruct-v0.2. Achieving Top-Level Korean Language Performance Surpassing GPT-4 Using Only Open-Source LLMs🔥 Recently, numerous state-of-the-art (SOTA) models have leveraged data generated by private models (e.g., ChatGPT, GPT-4) for LLM training, as seen in projects like OpenOrca, Ultrafeedback, and OpenHermes. However, this approach may violate these private models’ terms of service (ToS). For instance, OpenAI’s license explicitly states: «⚠️Use Limitation: Creating services that compete with OpenAI.⚠️» This implies that using data generated by private models to create unrestricted, open LLMs is challenging. In this context, our model is significant in that it has been trained solely on a proprietary dataset generated through open-source models. Furthermore, it achieved an impressive score of 🔥6.06🔥 in the korean logickor evaluation, the highest among mistral-based Korean models and the SOTA for models under 7B parameters.** The Gukbap-Series LLM🍚 was developed using the data processing and supervised…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Markr-AI
Теги: mistral, conversational, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 38
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
