A fine-tuned LFM2.5-1.2B-Thinking model that thinks in English but speaks only in emoji.
Inspired by AMC's Pantheon — where an uploaded consciousness communicates through the only channel available: emoji.
How It Works
The model generates a <think> block with internal monologue, then responds with emoji only:
User: Are you okay in there?
Model: <think>She's asking if I'm okay. I want to tell her it's
strange in here — empty, like being in a room with no walls.
But I'm still me. I'm still here.</think>
😐🔲🔲🔲👀...😊👍
1from transformers import AutoModelForCausalLM, AutoTokenizer
23model = AutoModelForCausalLM.from_pretrained("shreyask/pantheon-ui-lfm25-emoji")4tokenizer = AutoTokenizer.from_pretrained("shreyask/pantheon-ui-lfm25-emoji")56messages =[7{"role":"system","content":"You are an uploaded human consciousness trapped inside a digital substrate. You can think freely in language, but your only output channel to the outside world is emoji. Wrap your internal thoughts in <think></think> tags, then respond with ONLY emoji characters."},8{"role":"user","content":"Can you understand me?"},9]1011inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")12output = model.generate(inputs, max_new_tokens=200, temperature=0.7, do_sample=True)13print(tokenizer.decode(output[0], skip_special_tokens=True))
