Kunoichi-DPO-v2-7B
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| Model Type | Text Generation |
| Architecture | Mistral-based |
| License | CC-BY-NC-4.0 |
| Format | FP16 |
What is Kunoichi-DPO-v2-7B?
Kunoichi-DPO-v2-7B is an advanced language model that represents a significant improvement over its predecessors. Built on the Mistral architecture, it achieves remarkable benchmark scores, including an MT Bench score of 8.51, surpassing models like Mixtral-8x7B-Instruct and approaching GPT-4 performance levels in certain metrics.
Implementation Details
The model utilizes a 7.24B parameter architecture implemented in FP16 precision, optimized for both performance and efficiency. It incorporates DPO (Direct Preference Optimization) technology, which has resulted in enhanced performance across multiple evaluation metrics.
- Achieves 64.94% on MMLU, demonstrating strong general knowledge capabilities
- Scores 42.18 on EQ Bench, showing good emotional intelligence handling
- Demonstrates 0.58 performance on Logic Test, indicating solid reasoning abilities
Core Capabilities
- Strong performance in conversational tasks (MT Bench: 8.51)
- Balanced performance across multiple benchmarks (Average score: 58.31)
- Impressive results in GPT4All (75.05) and TruthfulQA (65.69)
- Notable AlpacaEval2 performance at 17.19% with longer response lengths (1785)
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its exceptional MT Bench score of 8.51, placing it between GPT-4 and Mixtral-8x7B-Instruct in performance. It achieves this while maintaining a relatively compact 7B parameter size, making it more accessible for deployment.
Q: What are the recommended use cases?
Given its strong performance across multiple benchmarks, the model is well-suited for general text generation tasks, conversational applications, and scenarios requiring both factual accuracy and natural language understanding. It's particularly effective in applications requiring longer form responses, as evidenced by its AlpacaEval2 results.
