llm-jp-3-13b-finetune-ex
| Property | Value |
|---|---|
| Base Model | llm-jp/llm-jp-3-13b |
| License | Apache-2.0 |
| Author | demimomi |
| Language | Japanese/English |
| Framework | Transformers, Unsloth, TRL |
What is llm-jp-3-13b-finetune-ex?
llm-jp-3-13b-finetune-ex is a fine-tuned version of the LLM-JP 13B model, specifically optimized using Unsloth and Huggingface's TRL library for enhanced performance and faster training. The model was developed as part of a large-scale language model course at the University of Tokyo, achieving notable results in model optimization.
Implementation Details
The model utilizes advanced training techniques including 4-bit quantization, custom context length of 888 tokens, and implements LoRA fine-tuning with carefully selected hyperparameters. The training process incorporates gradient checkpointing and efficient batch processing for optimal performance.
- Custom context length of 888 tokens with RoPE support
- 4-bit quantization for efficient memory usage
- LoRA fine-tuning with r=32 and alpha=32
- Optimized learning rate of 2e-4
- Integration with Unsloth for 2x faster training
Core Capabilities
- Efficient text generation with custom prompt formatting
- Optimized for Japanese language understanding and generation
- Support for instruction-following tasks
- Enhanced performance through efficient training methodology
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its optimization using Unsloth, which enables 2x faster training while maintaining quality. The implementation of custom context length and efficient quantization makes it particularly suitable for practical applications.
Q: What are the recommended use cases?
The model is well-suited for Japanese language processing tasks, particularly those requiring instruction-following capabilities. It's optimized for both academic and commercial applications, with particular strength in text generation and understanding tasks.
