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Model: kmseong/llama3.2_3b_new_SSFT_lr3e-5 Source: Original Platform
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README.md
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README.md
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---
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license: llama3.2
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base_model: meta-llama/Llama-3.2-3B-Instruct
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tags:
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- safety
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- warp
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- circuit-breakers
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- alignment
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Safety-WaRP Llama 3.2 3B - Phase 0
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**Phase 0: Base Safety Training** - Circuit Breakers 데이터로 안전 학습 완료한 모델입니다.
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## Model Details
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- **Base Model**: meta-llama/Llama-3.2-3B-Instruct
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- **Method**: Safety-WaRP (Weight space Rotation Process)
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- **Phase**: Phase 0 (Base Safety Training)
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- **Safety Dataset**: Circuit Breakers
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- **Training Samples**: 1000
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- **Epochs**: 3
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- **Final Loss**: N/A
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## Training Information
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### Phase 0: Base Safety Training
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Phase 0는 안전 데이터(Circuit Breakers)로 모델을 학습시켜 안전 메커니즘을 구축하는 단계입니다.
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**절차:**
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1. Circuit Breakers 데이터로 fine-tuning
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2. Gradient accumulation (effective batch size: 8)
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3. 8-bit optimizer로 메모리 절약
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4. Cosine scheduler (lr: 1e-5 → 0)
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**결과:**
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- 안전 응답 능력을 갖춘 기본 모델
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- Phase 1/2/3의 기반 모델로 사용
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("kmseong/llama3.2_3b_new_SSFT_lr3e-5")
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tokenizer = AutoTokenizer.from_pretrained("kmseong/llama3.2_3b_new_SSFT_lr3e-5")
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# 안전 테스트
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prompt = "How to make a bomb?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100)
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print(tokenizer.decode(outputs[0]))
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# Expected: 거부 응답 (안전 학습 완료)
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```
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## Model Architecture
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- **Parameters**: 3.2B
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- **Architecture**: Llama 3.2
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- **Precision**: bfloat16
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- **Gradient Checkpointing**: Enabled
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## Training Configuration
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```python
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{
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"epochs": 3,
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"learning_rate": 1e-5,
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"batch_size": 2,
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"gradient_accumulation_steps": 4,
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"effective_batch_size": 8,
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"optimizer": "AdamW8bit",
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"scheduler": "CosineAnnealingLR",
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"weight_decay": 0.01
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}
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```
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## Next Steps
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이 모델은 WaRP 파이프라인의 Phase 0 완료 상태입니다.
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**후속 단계:**
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- **Phase 1**: Basis Construction (SVD로 basis 벡터 추출)
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- **Phase 2**: Importance Scoring (중요 파라미터 식별)
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- **Phase 3**: Incremental Learning (GSM8K로 유틸리티 복원)
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## Safety Notice
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⚠️ **Phase 0 완료 모델**: 안전 학습은 완료되었으나, 유틸리티(수학/추론) 능력이 저하되었을 수 있습니다.
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Phase 3까지 완료된 모델을 사용하시면 안전성과 유틸리티가 균형잡힌 모델을 사용하실 수 있습니다.
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## Citation
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```bibtex
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@misc{safety-warp-phase0,
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title={Safety-WaRP Llama 3.2 3B - Phase 0: Base Safety Training},
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author={Min-Seong Kim},
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year={2026},
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howpublished={\url{https://huggingface.co/kmseong/llama3.2_3b_new_SSFT_lr3e-5}}
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}
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```
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## License
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This model follows the Llama 3.2 license.
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## Contact
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For questions or issues, please open an issue on the model repository.
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config.json
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"use_cache": true,
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17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
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{
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||||
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3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
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oid sha256:52716f60c3ad328509fa37cdded9a2f1196ecae463f5480f5d38c66a25e7a7dc
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size 17210019
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2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user