Llama-3-ELYZA-JP-8B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| License | Meta Llama 3 Community License |
| Languages | Japanese, English |
| Quantization | GGUF (Q4_K_M) |
What is Llama-3-ELYZA-JP-8B-GGUF?
Llama-3-ELYZA-JP-8B-GGUF is a quantized version of the Llama-3-ELYZA-JP-8B model, developed by ELYZA, Inc. It's based on Meta's Llama 3 architecture and has been specially enhanced for Japanese language capabilities through additional pre-training and instruction tuning. The model employs Q4_K_M quantization using llama.cpp, offering an efficient balance between performance and resource usage.
Implementation Details
The model represents a carefully optimized version of the original 8B parameter model, achieving a GPT4 score of 3.57 on the ELYZA-tasks-100 benchmark, showing minimal degradation from the original's 3.655 score. The GGUF quantization makes it particularly suitable for deployment in resource-constrained environments.
- Optimized for both Japanese and English language processing
- Implements Q4_K_M quantization for efficient deployment
- Compatible with llama.cpp for easy integration
- Supports OpenAI-style API implementations
Core Capabilities
- Bilingual processing in Japanese and English
- Efficient local deployment with ~20 tokens per second on M1 Pro
- Chat completions and instruction following
- Integration with popular frameworks like LM Studio
Frequently Asked Questions
Q: What makes this model unique?
The model combines Meta's Llama 3 architecture with specialized Japanese language capabilities, offering a highly efficient quantized version that maintains strong performance while reducing resource requirements.
Q: What are the recommended use cases?
The model is ideal for Japanese-English bilingual applications, local deployment scenarios, and cases requiring efficient resource usage while maintaining high-quality language processing capabilities. It's particularly well-suited for desktop applications and API-based services.
