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eternis_sft_tool_calling_Qwen1.7B_4bit_17jul_merged
eternis/eternis_sft_tool_calling_Qwen1.7B_4bit_17jul_merged
eternis_sft_tool_calling_Qwen1.7B_4bit_17jul_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: Qwen3-0.6B - Adapter A: Anonymization capabilities - Adapter B: Tool calling format
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Model card
From the Hugging Face model README
Qwen3-0.6B Anonymizer Tool Call Merged Model
This is a merged model that combines:
- Base model: Qwen3-0.6B
- Adapter A: Anonymization capabilities
- Adapter B: Tool calling format
Model Description
This model is trained to perform text anonymization with proper tool calling 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/eternis_sft_tool_calling_Qwen1.7B_4bit_17jul_merged", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("eternis/eternis_sft_tool_calling_Qwen1.7B_4bit_17jul_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 Qwen3-0.6B model
- Adapter A: Specialized in anonymization tasks
- Adapter B: Specialized in tool calling format
License
MIT License
- Task
- Text Generation
- Type
- qwen3
- License
- mit
- Languages
- en
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025