ggml-vicuna-7b-1.1
| Property | Value |
|---|---|
| Author | eachadea |
| Model Size | 7B parameters |
| Format | GGML |
| Status | Obsolete |
| Source | HuggingFace |
What is ggml-vicuna-7b-1.1?
ggml-vicuna-7b-1.1 is a converted version of the Vicuna language model, optimized using the GGML format for efficient inference on consumer hardware. This model represents an important milestone in making large language models more accessible, though it has since been superseded by newer versions.
Implementation Details
The model is built upon the LLaMA architecture and converted to GGML format, which allows for efficient CPU inference and reduced memory requirements. The 7B parameter size represents a balance between model capability and resource requirements.
- GGML-optimized format for CPU inference
- 7 billion parameters
- Based on LLaMA architecture
- Designed for local deployment
Core Capabilities
- General text generation and completion
- Conversation and dialogue generation
- Knowledge-based question answering
- Text summarization and analysis
Frequently Asked Questions
Q: What makes this model unique?
This model was one of the early efforts to make large language models more accessible through GGML optimization, allowing for efficient CPU inference on consumer hardware.
Q: What are the recommended use cases?
While this model is now obsolete, it was primarily used for local deployment of AI capabilities, including chatbots, text generation, and analysis tasks. Users should consider newer versions or alternatives for current projects.
