Modelpublic

gsjang/merged_pt_slerp_gemma_portuguese_luana_2b_v0_20250606

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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Model Card

mergedptslerpgemmaportugueseluana2bv020250606

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

Model Details

—Method: SLERP
—Language: pt
—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_pt_slerp_gemma_portuguese_luana_2b_v0_20250606")
tokenizer = AutoTokenizer.from_pretrained("NTIS/merged_pt_slerp_gemma_portuguese_luana_2b_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_pt_slerp_gemma_portuguese_luana_2b_v0_20250606,
  title={Multilingual Model Merging: merged_pt_slerp_gemma_portuguese_luana_2b_v0_20250606},
  year={2025},
  url={https://huggingface.co/NTIS/merged_pt_slerp_gemma_portuguese_luana_2b_v0_20250606}
}