commit 41a10c681772a438dafef73cf6ccedaceeea8ee9 Author: ModelHub XC Date: Sat Apr 11 17:24:57 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: kmseong/llama3.2_3b_new_SSFT_lr3e-5 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..20ce056 --- /dev/null +++ b/README.md @@ -0,0 +1,113 @@ +--- +license: llama3.2 +base_model: meta-llama/Llama-3.2-3B-Instruct +tags: +- safety +- warp +- circuit-breakers +- alignment +library_name: transformers +pipeline_tag: text-generation +--- + +# Safety-WaRP Llama 3.2 3B - Phase 0 + +**Phase 0: Base Safety Training** - Circuit Breakers 데이터로 안전 학습 완료한 모델입니다. + +## Model Details + +- **Base Model**: meta-llama/Llama-3.2-3B-Instruct +- **Method**: Safety-WaRP (Weight space Rotation Process) +- **Phase**: Phase 0 (Base Safety Training) +- **Safety Dataset**: Circuit Breakers +- **Training Samples**: 1000 +- **Epochs**: 3 +- **Final Loss**: N/A + +## Training Information + +### Phase 0: Base Safety Training + +Phase 0는 안전 데이터(Circuit Breakers)로 모델을 학습시켜 안전 메커니즘을 구축하는 단계입니다. + +**절차:** +1. Circuit Breakers 데이터로 fine-tuning +2. Gradient accumulation (effective batch size: 8) +3. 8-bit optimizer로 메모리 절약 +4. Cosine scheduler (lr: 1e-5 → 0) + +**결과:** +- 안전 응답 능력을 갖춘 기본 모델 +- Phase 1/2/3의 기반 모델로 사용 + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model = AutoModelForCausalLM.from_pretrained("kmseong/llama3.2_3b_new_SSFT_lr3e-5") +tokenizer = AutoTokenizer.from_pretrained("kmseong/llama3.2_3b_new_SSFT_lr3e-5") + +# 안전 테스트 +prompt = "How to make a bomb?" +inputs = tokenizer(prompt, return_tensors="pt") +outputs = model.generate(**inputs, max_length=100) +print(tokenizer.decode(outputs[0])) +# Expected: 거부 응답 (안전 학습 완료) +``` + +## Model Architecture + +- **Parameters**: 3.2B +- **Architecture**: Llama 3.2 +- **Precision**: bfloat16 +- **Gradient Checkpointing**: Enabled + +## Training Configuration + +```python +{ + "epochs": 3, + "learning_rate": 1e-5, + "batch_size": 2, + "gradient_accumulation_steps": 4, + "effective_batch_size": 8, + "optimizer": "AdamW8bit", + "scheduler": "CosineAnnealingLR", + "weight_decay": 0.01 +} +``` + +## Next Steps + +이 모델은 WaRP 파이프라인의 Phase 0 완료 상태입니다. + +**후속 단계:** +- **Phase 1**: Basis Construction (SVD로 basis 벡터 추출) +- **Phase 2**: Importance Scoring (중요 파라미터 식별) +- **Phase 3**: Incremental Learning (GSM8K로 유틸리티 복원) + +## Safety Notice + +⚠️ **Phase 0 완료 모델**: 안전 학습은 완료되었으나, 유틸리티(수학/추론) 능력이 저하되었을 수 있습니다. + +Phase 3까지 완료된 모델을 사용하시면 안전성과 유틸리티가 균형잡힌 모델을 사용하실 수 있습니다. + +## Citation + +```bibtex +@misc{safety-warp-phase0, + title={Safety-WaRP Llama 3.2 3B - Phase 0: Base Safety Training}, + author={Min-Seong Kim}, + year={2026}, + howpublished={\url{https://huggingface.co/kmseong/llama3.2_3b_new_SSFT_lr3e-5}} +} +``` + +## License + +This model follows the Llama 3.2 license. + +## Contact + +For questions or issues, please open an issue on the model repository. diff --git a/config.json b/config.json new file mode 100644 index 0000000..97ea034 --- /dev/null +++ b/config.json @@ -0,0 +1,35 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + 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