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| Metric | Value | Status |
|---|---|---|
| Refusal Rate | 51/100 | Drastic Reduction |
| KL Divergence | 0.6585 | Extreme Deviation |
| Optimization | Optuna TPE | 200 Trials |
| Hardware | Apple M4 | Unified Memory |
<think> tags, or repetitive output.trust_remote_code=True to initialize the custom Nanbeige architecture.1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "your-username/Nanbeige4-3B-Thinking-2511-heretic-t70"
4
5tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
6model = AutoModelForCausalLM.from_pretrained(
7 model_id,
8 trust_remote_code=True,
9 device_map="auto"
10)