KoAlpaca-Polyglot-5.8B
| Property | Value |
|---|---|
| Parameter Count | 5.8B |
| License | Apache 2.0 |
| Base Model | EleutherAI/polyglot-ko-5.8b |
| Training Data | KoAlpaca Dataset v1.1b |
| Tensor Type | FP16, F32, BOOL |
What is KoAlpaca-Polyglot-5.8B?
KoAlpaca-Polyglot-5.8B is a sophisticated Korean language model that builds upon the EleutherAI/polyglot-ko-5.8b architecture. It represents a significant advancement in Korean natural language processing, fine-tuned specifically on the KoAlpaca Dataset v1.1b to enhance its performance in text generation tasks.
Implementation Details
The model was trained using a carefully optimized process with the following specifications: learning rate of 5e-05, Adam optimizer with betas=(0.9,0.999), and epsilon=1e-08. Training was conducted over 2 epochs using Native AMP mixed precision training, with a batch size of 2.
- Implemented using Transformers 4.29.0.dev0 and PyTorch 2.0.0
- Supports multiple tensor formats (FP16, F32, BOOL)
- Includes Safetensor sharded model weight with max shard of 1GB
Core Capabilities
- Advanced Korean text generation
- Efficient processing with mixed precision support
- Optimized for production deployment with text-generation-inference
- Compatible with multiple tensor formats for flexibility
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized optimization for Korean language tasks, building upon the powerful Polyglot architecture while incorporating KoAlpaca's improvements. The integration of Safetensor sharding makes it more manageable for deployment.
Q: What are the recommended use cases?
The model is particularly well-suited for Korean language text generation tasks, including content creation, language understanding, and general NLP applications requiring sophisticated Korean language processing capabilities.
