DeepSeek-R1-Distill-Qwen-32B-GGUF
| Property | Value |
|---|---|
| Original Model | DeepSeek-R1-Distill-Qwen-32B |
| Format | GGUF (Various Quantizations) |
| Size Range | 9.03GB - 65.54GB |
| Author | bartowski |
| Source | Original Model Link |
What is DeepSeek-R1-Distill-Qwen-32B-GGUF?
This is a comprehensive collection of quantized versions of the DeepSeek-R1-Distill-Qwen-32B model, optimized for different hardware configurations and use cases. The model uses llama.cpp's imatrix quantization technology to provide various compression levels while maintaining different quality-size tradeoffs.
Implementation Details
The model comes in multiple quantization formats ranging from full BF16 precision (65.54GB) down to highly compressed IQ2_XXS (9.03GB). It implements a specific prompt format: <｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜>
- Supports various quantization methods including Q8_0, Q6_K, Q5_K, Q4_K, and IQ4/IQ3/IQ2 variants
- Implements online repacking for ARM and AVX CPU inference
- Special variants with Q8_0 quantization for embed and output weights
- Optimized for different hardware configurations including CPU, GPU, and Apple Silicon
Core Capabilities
- Multiple compression levels suitable for different hardware constraints
- High-quality quantization options (Q6_K_L) offering near-perfect quality
- Special optimizations for ARM and AVX architectures
- Support for various inference backends including cuBLAS, rocBLAS, and Metal
Frequently Asked Questions
Q: What makes this model unique?
This model offers an extensive range of quantization options, allowing users to balance between model size and quality. It implements state-of-the-art quantization techniques and provides special optimizations for different hardware architectures.
Q: What are the recommended use cases?
For maximum quality with sufficient RAM, use Q6_K_L or Q5_K_L variants. For balanced performance, Q4_K_M is recommended. For limited RAM scenarios, IQ4_XS or Q3_K_L provide decent quality while being more memory-efficient.
