TinySwallow-1.5B
| Property | Value |
|---|---|
| Developer | Sakana AI and Swallow Team |
| Model Type | Autoregressive Language Model |
| Language | Japanese |
| License | Apache License, Version 2.0 |
| Paper | TAID Paper |
What is TinySwallow-1.5B?
TinySwallow-1.5B is an innovative Japanese language model developed through TAID (Temporally Adaptive Interpolated Distillation), representing a significant advancement in compact language model development. Created by Sakana AI and the Swallow Team, this model effectively distills knowledge from the larger Qwen2.5-32B-Instruct teacher model into a more efficient 1.5B parameter architecture.
Implementation Details
The model implements a novel distillation approach called TAID, which enables efficient knowledge transfer from larger to smaller models. The architecture builds upon the Qwen2.5-1.5B-Instruct base model, with additional pre-training on Japanese text data to enhance its language capabilities.
- Utilizes TAID for knowledge distillation from Qwen2.5-32B-Instruct
- Built on Qwen2.5-1.5B-Instruct architecture
- Specialized Japanese language pre-training
- Compact 1.5B parameter design
Core Capabilities
- Advanced Japanese language understanding and generation
- Efficient performance with reduced parameter count
- Research and development applications
- Experimental prototype capabilities
Frequently Asked Questions
Q: What makes this model unique?
TinySwallow-1.5B stands out for its innovative TAID distillation method, which enables efficient knowledge transfer from a much larger model while maintaining strong Japanese language capabilities in a compact form factor.
Q: What are the recommended use cases?
The model is specifically designed for research and development purposes in Japanese language processing. It's important to note that it's not intended for commercial use or mission-critical applications, and should be used as an experimental prototype.
