cyberagent-DeepSeek-R1-Distill-Qwen-14B-Japanese-gguf
| Property | Value |
|---|---|
| Model Size | 14B parameters |
| Format | GGUF |
| Author | mmnga |
| Source | Hugging Face |
| Original Model | CyberAgent's DeepSeek-R1-Distill-Qwen |
What is cyberagent-DeepSeek-R1-Distill-Qwen-14B-Japanese-gguf?
This is a GGUF-formatted conversion of CyberAgent's DeepSeek-R1-Distill-Qwen-14B-Japanese model, specifically optimized for Japanese language processing. The model utilizes the TFMC/imatrix-dataset-for-japanese-llm for its matrix computations, ensuring efficient Japanese language handling.
Implementation Details
The model is implemented using the llama.cpp framework and supports CUDA acceleration for optimal performance. It's designed to be used with specific configuration parameters for text generation tasks.
- GGUF format optimization for efficient inference
- CUDA support for accelerated processing
- Integrated with llama.cpp framework
- Custom imatrix dataset implementation for Japanese language processing
Core Capabilities
- Japanese language text generation
- Efficient processing with CUDA acceleration
- Optimized for context length handling
- Configurable generation parameters
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its specialized optimization for Japanese language processing and its GGUF format conversion, making it more efficient for deployment using llama.cpp.
Q: What are the recommended use cases?
The model is particularly well-suited for Japanese language tasks, including text generation, conversation, and content creation. It can be effectively used with custom prompts, as demonstrated in the example prompt for recipe generation.
