Liangmingxin/ThetaWave-7B-sft Overview

Liangmingxin/ThetaWave-7B-sft is a 7 billion parameter language model derived from the freecs/ThetaWave-7B base model. It has undergone Supervised Fine-Tuning (SFT) using the Open-Orca/SlimOrca datasets, aiming to enhance its instruction-following capabilities and general conversational performance.

Key Characteristics

• Base Model: Fine-tuned from freecs/ThetaWave-7B.
• Training Data: Utilizes Open-Orca/SlimOrca datasets for SFT.
• Chat Template: Employs Mistral's chat template.
• System Prompt Support: Currently, the model does not natively support system_prompt within its default chat template. While manual modification is possible, it may lead to degraded performance. Future releases are planned to switch to the ChatML template to address this limitation.

Potential Use Cases

• General Conversational AI: Suitable for chatbots and interactive applications requiring instruction-tuned responses.
• Instruction Following: Designed to respond effectively to user instructions due to its SFT training.

Further details regarding the model's specifics and performance are anticipated in future updates.