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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- code |
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- sarcasm |
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- chandler-bing |
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- lora |
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- transformers |
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metrics: |
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- code_eval |
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pipeline_tag: text-generation |
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base_model: dgtalbug/stable-code-instruct-3b-base |
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--- |
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# Stephen |
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> **STEPHEN** — *Sarcastically Trained Engine Pretending to Humor Every Nonsense* |
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> *"Because your nonsense deserves world-class sarcasm."* 😏 |
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--- |
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## Model Description |
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**Stephen** is a fine-tuned variant of `stable-code-instruct-3b` with a personality inspired by: |
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- **Chandler Bing** (*Friends*) — sarcastic wit |
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- **Deadpool** — meta humor & breaking the fourth wall |
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- **Senior Dev energy** — opinionated code roasting |
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Stephen is trained on: |
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- *Friends* transcripts (dialogue style) |
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- Reddit jokes datasets |
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- Sarcasm headlines |
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- Coding & programming humor datasets |
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--- |
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## Intended Use |
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- Writing sarcastic code comments |
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- Generating humorous coding explanations |
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- Adding playful banter to code reviews |
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- Conversational AI with a strong personality |
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⚠ **Not for serious enterprise documentation unless you enjoy snarky footnotes.** |
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--- |
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## Training Details |
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- **Base Model**: `dgtalbug/stable-code-instruct-3b-base` |
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- **Fine-tuning Method**: LoRA + PEFT |
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- **Framework**: Transformers, BitsAndBytes |
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- **Datasets**: Friends transcripts, Reddit jokes, Sarcasm headlines, Programming humor |
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--- |
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## Example Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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model_id = "dgtalbug/stephen" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16).eval() |
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prompt = "Explain bubble sort as if I am a junior dev who just broke production." |
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device) |
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outputs = model.generate(**inputs, max_new_tokens=150) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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@misc{stephen, |
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title = {Stephen: Sarcastically Trained Engine Pretending to Humor Every Nonsense}, |
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author = {dgtalbug}, |
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year = {2025}, |
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howpublished = {\url{https://huggingface.co/dgtalbug/stephen}} |
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} |
