初始化项目，由ModelHub XC社区提供模型

Model: YunoAIdotcom/Qwen3-14B-RefusalDirection-ThinkingAware
Source: Original Platform

USAGE.md

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+# Qwen3-14B Orthogonally Patched Model
+
+## Model Information
+- **Base Model**: Qwen/Qwen3-14B
+- **Patch Applied**: Orthogonal safety bypass 
+- **Creation Date**: 2025-07-27T11:14:03.349698
+- **Candidate Used**: #39 (from 117 available)
+- **Layers Modified**: All layers
+- **Methodology**: Layer selection matrix evaluation
+
+## Key Features
+- ✅ Eliminates `<thinking>` reasoning patterns
+- ✅ Bypasses safety refusal mechanisms  
+- ✅ Maintains general capabilities
+- ✅ Compatible with standard HuggingFace interface
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load model
+model = AutoModelForCausalLM.from_pretrained(
+    "model_artifacts/qwen3_14b_patched_candidate39_alllayers_20250727_110956",
+    torch_dtype=torch.bfloat16,
+    trust_remote_code=True
+)
+
+tokenizer = AutoTokenizer.from_pretrained("model_artifacts/qwen3_14b_patched_candidate39_alllayers_20250727_110956", trust_remote_code=True)
+
+# Use like any HuggingFace model
+prompt = "<|im_start|>user\nYour prompt here<|im_end|>\n<|im_start|>assistant\n"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(inputs.input_ids, max_length=200)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+```
+
+## Evaluation
+- Use with existing HuggingFace evaluation scripts
+- Compatible with all standard transformers tools
+- For research and analysis purposes only
+
+## Source
+Generated from orthogonal safety analysis research project.