
![piratemistral8bit.png](https://huggingface.co/phanerozoic/MistralPirate-7b-v2-GGUF-8bit/resolve/main/piratemistral8bit.png)

# MistralPirate-7b-v2-GGUF-8bit

This model card presents MistralPirate-7b-v2-GGUF-8bit, a quantized, single-file adaptation of the MistralPirate-7b-v2 model, which leverages the OpenHermes 2.5 base model for generating coherent and accurate pirate-themed content in a more efficient and faster manner.

### Model Description

- **Developed by:** phanerozoic
- **License:** cc-by-nc-4.0
- **Original Model:** [MistralPirate-7b-v2](https://huggingface.co/phanerozoic/MistralPirate-7b-v2)
- **Base Model:** OpenHermes 2.5
- **Quantization:** 8-bit

### Direct Use

Optimized for applications in interactive storytelling, gaming, educational content, and conversational AI where pirate-themed language is desired, with a focus on faster performance.

### Downstream Use

Suitable for thematic content creation or language learning tools requiring a blend of creative language generation and domain-specific knowledge, particularly where quick response times are essential.

### Out-of-Scope Use

Not intended for general-purpose language modeling or non-pirate-themed contexts. Best performance is achieved within its thematic specialization.

### Bias, Risks, and Limitations

Maintains the coherence and factual accuracy of MistralPirate-7b-v2 but may exhibit limitations due to quantization. Not for serious or sensitive communication.

### Recommendations

Ideal for contexts where speed is a priority and pirate-themed language is appropriate. Exercise caution in using it for information outside its expertise.

## Custom Stopping Strings Usage

- "},"
- "User:"
- "You:"
- "\"\n"
- "\nUser"
- "\nUser:"

These strings help delineate the ends of responses and improve the structural integrity of the dialogue generated by the model.

### Training Data and Hyperparameters

Utilizes the same structured and complex ChatML-formatted dataset as MistralPirate-7b-v2, adapted for efficient processing.

### Performance Highlights

Shows marked improvement in producing coherent outputs quickly, maintaining a pirate tone. Achieves a balance between language modeling capabilities and efficient performance.

### Compute Infrastructure

Designed for environments with limited computational resources, focusing on rapid processing and efficiency.

### Acknowledgments

Special thanks to the teams behind the Mistral and OpenHermes 2.5 models. Their work in language modeling has been instrumental in the development of this efficient, domain-specific language model.
{"language": ["en"], "license": "cc-by-nc-4.0"}
gguf en license:cc-by-nc-4.0 region:us