Not-WizardLM-2-7B
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| Model Type | Text Generation |
| Architecture | Mistral-based |
| License | Apache 2.0 |
| Tensor Type | BF16 |
What is Not-WizardLM-2-7B?
Not-WizardLM-2-7B is a sophisticated language model created by amazingvince, built upon the Mistral architecture. The model implements chat templating functionality derived from FastChat, making it particularly suitable for conversational AI applications. It features built-in support for text-generation-inference endpoints and comes with comprehensive documentation including Colab integration.
Implementation Details
The model utilizes a BF16 tensor format and implements a dual-separator conversation style system, allowing for structured dialogue management. It includes a robust conversation handling system with support for both single and two-separator styles, making it versatile for different chat formats.
- Implements FastChat-style conversation management
- Supports both single and dual separator conversation styles
- Includes Colab integration for easy deployment
- Features text-generation-inference endpoint compatibility
Core Capabilities
- Advanced text generation with 7.24B parameters
- Structured conversation handling with customizable separators
- Support for system prompts and role-based interactions
- Efficient token management with skip_special_tokens functionality
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its implementation of sophisticated conversation management systems while maintaining compatibility with text-generation-inference endpoints. It offers a balance between capability and usability, with built-in support for various conversation styles.
Q: What are the recommended use cases?
This model is particularly well-suited for chatbot applications, conversational AI systems, and general text generation tasks. Its architecture makes it ideal for applications requiring structured dialogue management and consistent conversation handling.
