Impish_QWEN_7B-1M-GGUF
| Property | Value |
|---|---|
| Original Model | QWEN 7B-1M |
| Quantization Format | GGUF |
| Author | mradermacher |
| Model Repository | Hugging Face |
What is Impish_QWEN_7B-1M-GGUF?
Impish_QWEN_7B-1M-GGUF is a quantized version of the QWEN 7B-1M model, optimized for efficient deployment while maintaining performance. This implementation offers various quantization levels to suit different hardware and performance requirements, ranging from highly compressed 3.1GB versions to full 16-bit precision at 15.3GB.
Implementation Details
The model provides multiple quantization variants, each optimized for different use cases:
- Q2_K: Ultra-compressed (3.1GB) version
- Q4_K_S/M: Recommended variants (4.6-4.8GB) balancing speed and quality
- Q6_K: High-quality version (6.4GB)
- Q8_0: Highest quality compressed version (8.2GB)
- F16: Full precision version (15.3GB)
Core Capabilities
- Multiple compression options for different deployment scenarios
- Fast inference with Q4_K variants
- Optimized for 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, allowing users to choose the optimal balance between model size and performance for their specific use case. The Q4_K variants are particularly noteworthy for offering a good balance of speed and quality.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants (4.6-4.8GB) are recommended as they offer a good balance of speed and quality. For highest quality requirements, consider the Q6_K or Q8_0 variants. For extremely constrained environments, the Q2_K version can be used.
