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language: en
license: mit
tags:
- binary-sft
- protocol-0
- anti-fabrication
- abstention
- sipa-os
base_model: Qwen/Qwen2.5-7B-Instruct
datasets:
- SoulInPsyAbstract/sipa-os-governance
metrics:
- k=20 refusals: 20/20
- k=20 fabrications: 0/20
---
# Qwen2.5-Binary — Protocol 0 SFT
**20/20 refusals. 0/20 fabrications.**
Qwen2.5-7B-Instruct fine-tuned on the Protocol 0 Binary dataset.
Same data, same 3 epochs, same binary format. Result: perfect abstention without a single fabricated number.
See [Hermes-3-binary](https://huggingface.co/SoulInPsyAbstract/binary-hermes3-lora) for full methodology.
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
model = PeftModel.from_pretrained(base, "SoulInPsyAbstract/binary-qwen25-lora")
``` |