---
license: apache-2.0
language:
- sw
tags:
- merged
- slerp
- multilingual
base_model:
- unknown
- unknown
---

# merged_sw_slerp_UlizaLlama3_v0_20250606

This model was created by merging multilingual language models using the SLERP method.

## Model Details

- **Method**: SLERP
- **Language**: sw
- **Base Models**: 
  - Language Model: unknown
  - Knowledge Model: unknown
- **Created**: 2025-06-07

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("NTIS/merged_sw_slerp_UlizaLlama3_v0_20250606")
tokenizer = AutoTokenizer.from_pretrained("NTIS/merged_sw_slerp_UlizaLlama3_v0_20250606")
```

## Training Details

This model was created using model merging techniques to combine the language capabilities of specialized multilingual models with general knowledge models.

## Limitations

- This model inherits limitations from its base models
- Performance may vary across different languages and tasks
- Requires evaluation for specific use cases

## Citation

```bibtex
@misc{merged_sw_slerp_UlizaLlama3_v0_20250606,
  title={Multilingual Model Merging: merged_sw_slerp_UlizaLlama3_v0_20250606},
  year={2025},
  url={https://huggingface.co/NTIS/merged_sw_slerp_UlizaLlama3_v0_20250606}
}
```