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+ MIT License
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+
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+ Copyright (c) 2025 ahczhg
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
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+
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+ ---
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+
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+ ## Third-Party Licenses and Attributions
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+
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+ This project uses and/or fine-tunes models from third parties, which may be
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+ subject to their own licenses and terms of use:
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+
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+ ### Base Models
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+
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+ 1. **Qwen3-0.6B-Base**
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+ - Model: Qwen/Qwen3-0.6B-Base
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+ - Provider: Alibaba Cloud
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+ - License: Apache License 2.0 (or as specified by Alibaba Cloud)
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+ - URL: https://huggingface.co/Qwen/Qwen3-0.6B-Base
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+
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+ 2. **Llama-3.2-1B**
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+ - Model: meta-llama/Llama-3.2-1B
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+ - Provider: Meta AI
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+ - License: Llama 3.2 Community License Agreement
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+ - URL: https://huggingface.co/meta-llama/Llama-3.2-1B
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+ - Note: Subject to Meta's acceptable use policy
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+
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+ 3. **ERNIE-4.5-0.3B-Base-PT**
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+ - Model: baidu/ERNIE-4.5-0.3B-Base-PT
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+ - Provider: Baidu
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+ - License: Apache License 2.0 (or as specified by Baidu)
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+ - URL: https://huggingface.co/baidu/ERNIE-4.5-0.3B-Base-PT
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+
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+ ### Dataset
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+
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+ **NVIDIA Aegis AI Content Safety Dataset 2.0**
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+ - Provider: NVIDIA
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+ - License: As specified by NVIDIA
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+ - URL: https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0
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+
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+ ### Libraries and Dependencies
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+
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+ This project depends on the following open-source libraries:
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+
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+ - **PyTorch**: BSD-style License
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+ - **Transformers**: Apache License 2.0 (HuggingFace)
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+ - **PEFT**: Apache License 2.0 (HuggingFace)
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+ - **TRL**: Apache License 2.0 (HuggingFace)
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+ - **bitsandbytes**: MIT License
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+ - **Datasets**: Apache License 2.0 (HuggingFace)
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+ - **Accelerate**: Apache License 2.0 (HuggingFace)
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+ - **sentencepiece**: Apache License 2.0
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+ - **protobuf**: BSD License
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+ - **scikit-learn**: BSD License
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+ - **pandas**: BSD License
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+ - **numpy**: BSD License
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+ - **matplotlib**: PSF License
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+ - **seaborn**: BSD License
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+
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+ ## Important Notes
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+
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+ 1. **Model Usage**: When using fine-tuned models from this project, you must
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+ comply with the license terms of the original base models.
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+
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+ 2. **Commercial Use**: Some base models may have restrictions on commercial
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+ use. Please review the original model licenses before deploying in
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+ commercial applications.
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+
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+ 3. **Dataset Usage**: The NVIDIA Aegis AI Content Safety Dataset 2.0 may have
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+ its own terms of use. Please review the dataset license before use.
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+
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+ 4. **No Warranty**: This software is provided "as is" without warranty of any
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+ kind. The authors are not responsible for any consequences arising from
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+ the use of this software or the fine-tuned models.
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+
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+ 5. **Responsible Use**: This project is intended for content safety and
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+ moderation purposes. Users must ensure their use complies with applicable
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+ laws and ethical guidelines.
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+
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+ ## Compliance
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+
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+ Users of this software and the resulting fine-tuned models are responsible for:
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+ - Complying with all applicable licenses
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+ - Ensuring their use case is permitted under base model licenses
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+ - Implementing appropriate safeguards and human oversight
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+ - Following ethical AI principles and guidelines
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+ - Respecting privacy and data protection regulations
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+
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+ For questions about licensing, please:
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+ - Review the original model licenses on HuggingFace
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+ - Contact the model providers directly
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+ - Consult with legal counsel for commercial deployments