Gemma-3-R1984 12B Q8_0 GGUF
| Property | Value |
|---|---|
| Model Size | 12 Billion Parameters |
| Format | GGUF (Optimized) |
| Quantization | 8-bit (Q8_0) |
| Source Repository | Hugging Face |
What is Gemma-3-R1984-12B-Q8_0-GGUF?
This is a converted version of the Gemma-3-R1984-12B model, specifically optimized for use with llama.cpp. The model has been quantized to 8-bit precision (Q8_0) and converted to the GGUF format, making it more efficient for deployment while maintaining performance.
Implementation Details
The model has been converted from the original VIDraft/Gemma-3-R1984-12B using llama.cpp via ggml.ai's GGUF conversion tools. It's designed for efficient inference and can be deployed using either the llama.cpp CLI or server implementations.
- 8-bit quantization for reduced memory footprint
- GGUF format optimization for llama.cpp compatibility
- Supports context window of 2048 tokens
- Compatible with both CLI and server deployment options
Core Capabilities
- Efficient local deployment through llama.cpp
- Supports both CLI and API server modes
- Optimized for resource-efficient inference
- Cross-platform compatibility (Linux, MacOS)
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its optimization for llama.cpp deployment, featuring 8-bit quantization while maintaining the capabilities of the original 12B parameter model. It's specifically designed for efficient local deployment and inference.
Q: What are the recommended use cases?
The model is ideal for scenarios requiring local deployment of large language models, particularly when using llama.cpp. It's suitable for both CLI applications and server deployments, with support for context windows up to 2048 tokens.
