---
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")
```