calme-3.2-qwenloi-3b-GGUF
| Property | Value |
|---|---|
| Parameter Count | 3.09B |
| Model Type | Text Generation |
| Format | GGUF |
| Author | MaziyarPanahi |
| Downloads | 14,967 |
What is calme-3.2-qwenloi-3b-GGUF?
calme-3.2-qwenloi-3b-GGUF is a specialized language model that has been converted to the GGUF format, which is the successor to the GGML format. This model features multiple quantization options ranging from 2-bit to 8-bit precision, allowing users to balance performance and resource usage based on their needs.
Implementation Details
The model is built on the Mistral architecture and has been optimized for efficient local deployment. It supports various precision levels through quantization:
- 2-bit to 8-bit precision options available
- GGUF format optimization for local deployment
- Compatible with multiple inference platforms
- 3.09B parameters for balanced performance and resource usage
Core Capabilities
- Text generation and conversational tasks
- Optimized for various deployment scenarios through different quantization levels
- Compatible with popular frameworks like llama.cpp, text-generation-webui, and GPT4All
- Supports both CPU and GPU acceleration on compatible platforms
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its versatile quantization options and GGUF format optimization, making it highly adaptable for different hardware configurations and use cases. The ability to choose between 2-bit to 8-bit precision allows users to find the optimal balance between model performance and resource consumption.
Q: What are the recommended use cases?
The model is particularly well-suited for text generation and conversational applications where local deployment is preferred. It's ideal for users who need a balance between model capability and resource efficiency, especially when running on consumer hardware.
