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eternis/eternis_sft_tool_calling_Qwen4B_4bit_17jul_merged

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Qwen3-4B Anonymizer Tool Call Merged Model

This is a merged model that combines:

  • —Base model: Qwen3-4B
  • —Adapter A: 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

python
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model
model = AutoModelForCausalLM.from_pretrained("eternis/eternis_sft_tool_calling_Qwen4B_4bit_17jul_merged", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("eternis/eternis_sft_tool_calling_Qwen4B_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:

  1. 1.Base Qwen3-4B model
  2. 2.Adapter A: Specialized in tool calling format

License

MIT License