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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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pipeline_tag: text-generation |
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base_model: Qwen/Qwen2.5-1.5B-Instruct |
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tags: |
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- roast |
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- fun |
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- humor |
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- chatbot |
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- text-generation |
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library_name: transformers |
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--- |
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# BurnMaster-1B 🔥 |
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## Introduction |
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**BurnMaster-1B** is a playful AI roast-bot built on top of [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct). |
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Instead of being a generic assistant, BurnMaster specializes in delivering **short, witty, clean roasts** for fun and entertainment. |
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✨ Features: |
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- Clean & funny burns, safe for friends |
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- Adjustable *spice levels* (from teasing → max spicy roast) |
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- Preloaded with random roast ideas for instant laughs |
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- Powered by the Qwen2.5-1.5B-Instruct model architecture |
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## Quickstart |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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model_name = "CoderPixel/BurnMaster-1B" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained( |
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model_name, |
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torch_dtype=torch.float16, |
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device_map="auto" |
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) |
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messages = [ |
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{"role": "system", "content": "You are BurnMaster, an AI that delivers short, funny, clean roasts."}, |
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{"role": "user", "content": "Roast me like I rage quit Roblox after losing to a 9-year-old."} |
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] |
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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inputs = tokenizer([text], return_tensors="pt").to(model.device) |
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outputs = model.generate(**inputs, max_new_tokens=100, do_sample=True, temperature=0.9, top_p=0.9) |
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response = tokenizer.decode(outputs[0][inputs['input_ids'].shape[1]:], skip_special_tokens=True) |
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print(response) |
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