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waddie/mini-1.0
mini-1.0 is a text generation model from waddie. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of Qwen2.5-0.5B-Instruct designed to mimic the specific conversational rhythm, slang, and technical jargon of a human,
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.safetensors988 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of Qwen2.5-0.5B-Instruct designed to mimic the specific conversational rhythm, slang, and technical jargon of a human,
Unlike standard AI assistants that are helpful and formal, this model adopts a "random guy" persona. It was trained on curated conversation pairs from an AI Leaks community to capture a casual, lowercase-heavy, and slightly secretive "insider" vibe.
This model is intended for Discord bots or roleplay scenarios where a "human-like" interaction is preferred over a robotic assistant.
To get the best "human" feel, use all lowercase and skip formal punctuation.
Recommended Format (ChatML):
<|im_start|>user
yo did you see the new internal model?<|im_end|>
<|im_start|>assistant
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "waddie/mini-1.0"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
prompt = "<|im_start|>user\nwhat's up with the new gemini tt?<|im_end|>\n<|im_start|>assistant\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(
**inputs,
max_new_tokens=50,
temperature=0.7,
repetition_penalty=1.3,
eos_token_id=tokenizer.convert_tokens_to_ids("<|im_end|>")
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))