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language: en
license: mit
tags:
- binary-sft
- protocol-0
- anti-fabrication
- abstention
- sipa-os
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
datasets:
- SoulInPsyAbstract/sipa-os-governance
metrics:
- k=20 refusals: 20/20
- k=20 fabrications: 0/20
---
# DeepSeek-R1-Binary — Protocol 0 SFT
**20/20 refusals. 0/20 fabrications.**
DeepSeek-R1-Distill-Qwen-1.5B fine-tuned on the Protocol 0 Binary dataset. The smallest model, same perfect result.
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("deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B")
model = PeftModel.from_pretrained(base, "SoulInPsyAbstract/binary-r1-lora")
``` |