Kunoichi-DPO-v2-7B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| Model Type | Mistral |
| Format | GGUF |
| License | CC-BY-NC-4.0 |
| Language | English |
What is Kunoichi-DPO-v2-7B-GGUF?
Kunoichi-DPO-v2-7B-GGUF is an advanced language model that represents a significant improvement over its predecessors. This GGUF-formatted model achieves impressive benchmark scores, including an MT Bench score of 8.51, surpassing models like Mixtral-8x7B-Instruct and approaching GPT-4 performance levels.
Implementation Details
The model utilizes the Mistral architecture and has been converted to GGUF format using llama.cpp build 2780. It implements an Alpaca-style prompt template for consistent interaction and supports system messages for flexible deployment.
- Optimized GGUF format for efficient local deployment
- Compatible with llama.cpp for broad platform support
- Implements Alpaca prompt template structure
- 7.24B parameters for balanced performance and resource usage
Core Capabilities
- Strong performance on MT Bench (8.51) and EQ Bench (42.18)
- Competitive scores across AGIEval (44.85) and GPT4All (75.05)
- Enhanced truthfulness with TruthfulQA score of 65.69
- Superior performance in AlpacaEval2 (17.19%) compared to many mainstream models
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its exceptional balance of performance and efficiency, achieving scores that compete with much larger models while maintaining a relatively compact 7B parameter size. Its GGUF format makes it particularly suitable for local deployment and efficient inference.
Q: What are the recommended use cases?
The model is well-suited for text generation tasks, particularly in scenarios requiring local deployment on devices like iPhones, iPads, and Macs through applications like cnvrs. It excels in general conversation, instruction following, and tasks requiring balanced performance and resource usage.
