calme-3.1-baguette-3b-GGUF
| Property | Value |
|---|---|
| Parameter Count | 3.09B |
| Model Type | Text Generation |
| Format | GGUF |
| Author | MaziyarPanahi |
| Downloads | 164,487 |
What is calme-3.1-baguette-3b-GGUF?
calme-3.1-baguette-3b-GGUF is a quantized version of the original calme-3.1-baguette-3b model, converted to the GGUF format for optimal local deployment. This model represents a significant advancement in accessible AI, offering various quantization options from 2-bit to 8-bit precision to balance performance and resource requirements.
Implementation Details
The model utilizes the GGUF format, which is the successor to GGML, designed for efficient local inference. It's compatible with numerous popular frameworks and interfaces, including llama.cpp, text-generation-webui, and LM Studio.
- Multiple quantization options (2-bit to 8-bit precision)
- Optimized for local deployment
- Compatible with major GGUF-supporting platforms
- Built on Mistral architecture
Core Capabilities
- Text generation and completion tasks
- Conversational AI applications
- Flexible deployment options across different platforms
- Resource-efficient inference with various quantization levels
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its versatility in quantization options and broad compatibility with popular GGUF-supporting platforms, making it highly accessible for local deployment while maintaining performance.
Q: What are the recommended use cases?
The model is particularly well-suited for text generation tasks and conversational applications where local deployment is preferred. Its various quantization options allow users to choose the optimal balance between performance and resource usage for their specific needs.
