Hank Hill LoRA (Qwen2.5-7B-Instruct)
QLoRA adapter fine-tuned to speak like Hank Hill (fan/parody research project).
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "Qwen/Qwen2.5-7B-Instruct"
adapter = "avewright/hank-qwen25-7b-lora"
tok = AutoTokenizer.from_pretrained(adapter, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto", trust_remote_code=True)
model = PeftModel.from_pretrained(model, adapter)
Training
- Base: Qwen2.5-7B-Instruct
- Method: QLoRA 4-bit, r=16, alpha=32
- ~20k SFT examples, 1 epoch
- Eval loss ~0.62
Personal / fair-use research. Do not redistribute copyrighted episode material.
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