gemma_coder_9b-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Type | GGUF Quantized |
| Original Source | TeamDelta/gemma_coder_9b |
| Model Size Range | 3.9GB - 18.6GB |
What is gemma_coder_9b-GGUF?
gemma_coder_9b-GGUF is a specialized quantized version of the Gemma 9B model, optimized for coding tasks. This implementation offers various quantization levels to balance between model size and performance, making it accessible for different hardware configurations and use cases.
Implementation Details
The model comes in multiple GGUF quantization variants, each offering different trade-offs between size and quality. Notable variants include Q4_K_S (5.6GB) and Q4_K_M (5.9GB) which are recommended for their balance of speed and quality, Q6_K (7.7GB) for very good quality, and Q8_0 (9.9GB) for the best quality in a compressed format.
- Q2_K: Smallest size at 3.9GB
- Q4_K variants: Recommended for general use
- Q6_K: High-quality option at 7.7GB
- Q8_0: Best quality compressed version at 9.9GB
- F16: Full precision at 18.6GB
Core Capabilities
- Optimized for programming and coding tasks
- Multiple quantization options for different use cases
- Balanced performance across different hardware configurations
- Compatible with standard GGUF loaders
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options and optimization for coding tasks, while maintaining good performance across different compression levels. It's particularly notable for providing both standard and IQ-based quantization options.
Q: What are the recommended use cases?
The model is best suited for coding-related tasks, with the Q4_K_S and Q4_K_M variants recommended for general use due to their optimal balance of speed and quality. For users requiring highest quality, the Q8_0 variant is recommended.
