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qwen1.7b-anonymizer-merged
eternis/qwen1.7b-anonymizer-merged
qwen1.7b-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: Qwen1.7B SFT Tool Calling - LoRA Adapter: Anonymization capabilities
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At a glance
- Task
- Text Generation
- License
- mit
- Model type
- qwen3
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025
- SHA
- 81166e4f
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Model card
From the Hugging Face model README
Qwen1.7B Anonymizer Tool Call Merged Model
This is a merged model that combines:
- Base model: Qwen1.7B SFT Tool Calling
- LoRA Adapter: Anonymization capabilities
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/qwen1.7b-anonymizer-merged", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("eternis/qwen1.7b-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 LoRA adapter approach:
- Base Qwen1.7B SFT model with tool calling capabilities
- LoRA adapter specialized in anonymization tasks
License
MIT License
- Task
- Text Generation
- Type
- qwen3
- License
- mit
- Languages
- en
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025