calme-3.1-instruct-3b-GGUF
| Property | Value |
|---|---|
| Parameter Count | 3.09B |
| Model Type | Instruction-tuned Language Model |
| Format | GGUF (Multiple Quantization Options) |
| Author | MaziyarPanahi |
What is calme-3.1-instruct-3b-GGUF?
calme-3.1-instruct-3b-GGUF is a specialized variant of the calme-3.1-instruct-3b model, converted to the efficient GGUF format. This model represents a significant advancement in making large language models more accessible for local deployment, offering multiple quantization options ranging 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, providing improved compatibility and performance for local deployment. It's specifically designed to work with various client applications and libraries, including llama.cpp, LM Studio, and text-generation-webui.
- Multiple quantization options (2-bit to 8-bit precision)
- Compatible with GPU acceleration
- Optimized for both CLI and server deployments
- Supports various deployment platforms and interfaces
Core Capabilities
- Text generation and instruction following
- Efficient local deployment with minimal resource requirements
- Integration with popular frameworks and UIs
- Flexible quantization options for different use-cases
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its versatile quantization options and GGUF format implementation, making it highly accessible for local deployment while maintaining performance. The multiple precision options allow users to choose the optimal balance between model size and accuracy for their specific use case.
Q: What are the recommended use cases?
The model is particularly well-suited for local deployment scenarios where efficient resource usage is crucial. It's ideal for text generation tasks, conversational applications, and instruction-following implementations where running on consumer hardware is a requirement.
