Downloads · 30 days
17
3% of all-time downloads
gemma3-1b-anonymizer-merged
eternis/gemma3-1b-anonymizer-merged
gemma3-1b-anonymizer-merged is a text generation model from eternis. Use it when you need the model to write or continue text. The card lists the license as mit.
This is a merged model that combines: - Base model: Gemma-3-1B - Adapter A: Anonymization capabilities - Adapter B: Tool calling format
All-time downloads
607
Public
Parameters
1000M
2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2 GB · 98%
At a glance
- Task
- Text Generation
- License
- mit
- Model type
- gemma3_text
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- 29dea1d4
Try a prompt
Model card
From the Hugging Face model README
Gemma-3-1B Anonymizer Tool Call Merged Model
This is a merged model that combines:
- Base model: Gemma-3-1B
- Adapter A: Anonymization capabilities
- Adapter B: Tool calling format
Model Description
This model is trained to perform text anonymization with proper json output format. It can identify and replace personally identifiable information (PII) while maintaining semantic meaning and context.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load model
model = AutoModelForCausalLM.from_pretrained("eternis/gemma3-1b-anonymizer-merged", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("eternis/gemma3-1b-anonymizer-merged", trust_remote_code=True)
# Example usage
input_text = "John Doe works at Google in New York"
# ... generate anonymized output with tool calls
Training
This model was trained using a multi-adapter approach:
- Base Gemma-3-1B model
- Adapter A: Specialized in anonymization tasks
- Adapter B: Specialized in tool calling format
License
MIT License
- Task
- Text Generation
- Type
- gemma3_text
- License
- mit
- Languages
- en
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025