Vicuna-7B-Delta-v1.1
| Property | Value |
|---|---|
| Developer | LMSYS |
| Base Model | LLaMA |
| License | Non-commercial |
| Paper | Research Paper |
| Training Data | 70K ShareGPT conversations |
What is vicuna-7b-delta-v1.1?
Vicuna-7B-Delta-v1.1 is a sophisticated chat assistant model developed by LMSYS through fine-tuning the LLaMA architecture. This delta version requires combination with original LLaMA weights to function. It represents an advanced implementation of transformer-based architecture specifically optimized for conversational AI applications.
Implementation Details
The model is implemented as a delta weights package that must be applied to the original LLaMA model. It utilizes PyTorch framework and implements the transformer architecture with specific optimizations for chat interactions.
- Supervised instruction fine-tuning approach
- Based on 7B parameter LLaMA architecture
- Trained on carefully curated ShareGPT conversations
- Implements text-generation-inference capabilities
Core Capabilities
- Advanced conversational AI interactions
- Research-focused language understanding and generation
- Support for both command-line interface and API access
- Compatibility with OpenAI and Hugging Face APIs
Frequently Asked Questions
Q: What makes this model unique?
Vicuna-7B-Delta-v1.1 stands out for its specialized training on high-quality conversation data from ShareGPT, making it particularly effective for chat applications while being accessible for research purposes.
Q: What are the recommended use cases?
The model is primarily intended for research in natural language processing, machine learning, and artificial intelligence. It's particularly suitable for researchers and hobbyists working on conversational AI systems.
