GPT4-Alpaca-LoRA-30B
| Property | Value |
|---|---|
| Base Model | LLaMA 30B |
| License | Apache 2.0 |
| Training Infrastructure | 8x A100 (40GB) DGX |
| LoRA Rank | 16 |
What is gpt4-alpaca-lora-30b?
GPT4-Alpaca-LoRA-30B is an advanced language model that transforms the base LLaMA 30B model into a powerful instruction-following chatbot. It leverages Low-Rank Adaptation (LoRA) training methodology with GPT-4 generated training data to create a more efficient and capable conversational AI system.
Implementation Details
The model implements LoRA fine-tuning targeting multiple attention modules (q_proj, k_proj, v_proj, o_proj) with a rank of 16. Training was conducted on a high-performance 8xA100 GPU system using the established Alpaca-LoRA implementation. The model processes sequences up to 512 tokens and employs group-by-length optimization for training efficiency.
- Base model: decapoda-research/llama-30b-hf
- Training epochs: 10
- Context length: 512 tokens
- LoRA target modules: Q, K, V, and O projections
Core Capabilities
- Advanced instruction following abilities
- Enhanced conversational interactions
- Efficient deployment through LoRA adaptation
- Improved performance from GPT-4 generated training data
Frequently Asked Questions
Q: What makes this model unique?
This model combines the powerful LLaMA 30B architecture with LoRA fine-tuning and GPT-4 generated training data, offering a balance between performance and efficiency. The use of multiple attention module targets in LoRA training makes it particularly effective for conversational tasks.
Q: What are the recommended use cases?
The model is particularly well-suited for chatbot applications, instruction-following tasks, and general conversational AI applications where a balance of performance and resource efficiency is required.
