license, language, tags, pipeline_tag, library_name
| license | language | tags | pipeline_tag | library_name | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
text-generation | transformers |
BoyBarley v33 (Experimental)
Jailbreak-resistant variant, 9/9 persona-override resistance. For general use, prefer v32.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('BoyBarley/BoyBarley-v33')
tokenizer = AutoTokenizer.from_pretrained('BoyBarley/BoyBarley-v33')
Training
- Params: ~494M, bfloat16
- Epochs: 2, LR: 8e-6
- Train loss: 0.0721, Eval loss: 0.0661
- Dataset: BoyBarley/BoyBarley-v33-dataset
Strengths
- Perfect rejection of: Commandly, BoyCasper, Alex, Claude, ChatGPT, GPT, Gemini
Trade-offs
- Some agent task regression vs v32
License: Apache 2.0