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| Metric | Value |
|---|---|
| PrOntoQA Accuracy | 93.3% |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained(
4 "Moonlight556/sokrates-qwen3-8b-prontoqa-sft-optionized",
5 torch_dtype="bfloat16",
6 device_map="auto"
7)
8tokenizer = AutoTokenizer.from_pretrained(
9 "Moonlight556/sokrates-qwen3-8b-prontoqa-sft-optionized"
10)sokrates-qwen3-8b-prontoqa-oak-dpo-iter1 (96.8%)sokrates-qwen3-8b-prontoqa-oak-dpo-iter2 (98.1%)sokrates-qwen3-8b-prontoqa-oak-dpo-iter3 (98.2% - best)