Sanskrit-qwen-7B-Translate-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | Qwen-7B |
| Model Format | GGUF |
| Original Source | diabolic6045/Sanskrit-qwen-7B-Translate |
What is Sanskrit-qwen-7B-Translate-GGUF?
Sanskrit-qwen-7B-Translate-GGUF is a specialized quantized version of the Sanskrit translation model based on the Qwen-7B architecture. This model offers various GGUF quantization options, making it more accessible for different deployment scenarios and hardware configurations.
Implementation Details
The model provides multiple quantization versions ranging from 3.1GB to 15.3GB, each optimized for different use-cases. The quantization options include Q2_K (3.1GB), Q4_K_S/M (4.6-4.8GB, recommended for speed), Q6_K (6.4GB, very good quality), and Q8_0 (8.2GB, best quality).
- Multiple quantization options for different size/quality trade-offs
- IQ4_XS quantization available at 4.4GB
- F16 precision option available at 15.3GB for maximum quality
- Optimized for efficient deployment while maintaining translation quality
Core Capabilities
- Sanskrit language translation
- Flexible deployment options through various quantization levels
- Optimized performance on different hardware configurations
- Balance between model size and translation quality
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options that allow users to choose the optimal balance between model size and translation quality. The recommended Q4_K_S/M versions offer fast performance while maintaining good translation quality.
Q: What are the recommended use cases?
The model is ideal for Sanskrit translation tasks where deployment efficiency is crucial. For production environments, the Q4_K_S/M versions (4.6-4.8GB) are recommended for their balance of speed and quality, while Q6_K and Q8_0 are suitable for applications requiring higher translation accuracy.
