File size: 2,191 Bytes
bbc1f4f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | ---
language:
- en
license: apache-2.0
tags:
- text-generation
- humor
- computational-humor
- peft
- lora
- qwen
- cognitive-synergy-framework
- headline-humor
base_model: Qwen/Qwen2.5-7B-Instruct
pipeline_tag: text-generation
---
# HumorGen SFT-Think — 7B
Part of the [HumorGen Collection](https://huggingface.co/collections/Jayi2424/humorgen) · SaLT Lab, Carnegie Mellon University
---
SFT with explicit Chain-of-Thought reasoning traces. The model reasons through its comedic strategy before generating output.
**Paper(s):** [arXiv:2604.09629](https://arxiv.org/abs/2604.09629)
---
## Training
| Property | Value |
|:---|:---|
| Stage | SFT + Chain-of-Thought traces |
| Backbone | Qwen2.5-7B-Instruct (QLoRA 4-bit) |
| LoRA r / alpha | 16 / 16 |
| Data | SemEval-2026 MWAHAHA + CSF persona thinking traces |
## Usage
This is a PEFT LoRA adapter. Load the base model and apply the adapter:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct", torch_dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(model, "Jayi2424/HumorGen_SFT_Think_7B")
headline = "Local man invents app to tell you why you're sad"
prompt = (
"<|im_start|>system\n"
"Think carefully, then write the best joke you can.\n<|im_end|>\n"
f"<|im_start|>user\n{headline}<|im_end|>\n"
"<|im_start|>assistant\n<think>\n"
)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=300, temperature=0.7, top_p=0.95)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## Citation
```bibtex
@misc{ajayi2026humorgen,
title = {HumorGen: Cognitive Synergy for Humor Generation in Large Language
Models via Persona-Based Distillation},
author = {Ajayi, Edward and others},
year = {2026},
eprint = {2604.09629},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2604.09629}
}
```
|