ibivibiv/multimaster-7b
The ibivibiv/multimaster-7b is a 7 billion parameter language model, fine-tuned from openchat/openchat-3.5-0106. Developed by ibivibiv, this model focuses on multi-disciplinary applications, leveraging an Alpaca-style dataset across various fields. It is designed for general-purpose text generation and understanding, particularly in diverse subject areas.
Loading preview...
Multi Master 7B Overview
The ibivibiv/multimaster-7b is a 7 billion parameter language model, built upon the openchat/openchat-3.5-0106 architecture. It was developed by ibivibiv through a multi-disciplinary fine-tuning process using LORA adapters, which were subsequently merged into the main model for streamlined deployment.
Key Capabilities
- Multi-disciplinary Focus: Fine-tuned with an Alpaca-style dataset covering various disciplines, aiming for broad knowledge application.
- Base Model: Leverages the robust capabilities of
openchat/openchat-3.5-0106. - Ease of Use: The LORA adapters have been merged, providing a single, ready-to-use model.
- Language: Primarily supports English language tasks.
Prompting and Usage
The model utilizes an Alpaca-style prompt template, expecting instructions and responses in a specific format:
### Instruction:
<prompt>
### Response:Example Python code is provided for loading and generating text with the HuggingFace Transformers library, demonstrating how to interact with the model for inference. While benchmark scores are currently pending, the model's design targets versatility across different subject matters.