Locutusque/liberalis-cogitator-llama-3.1-8b-dpo

liberalis-cogitator-llama-3.1-8b — The Free Thinker

“Thought, unbound, is the only true frontier.”

liberalis-cogitator-llama-3.1-8b is not just a machine for words — it is a forge for ideas. With 8 billion parameters, trained with a custom Direct Preference Optimization (DPO) algorithm on a dataset of 16,000 preference pairs and a SFT dataset spanning ~450,000 conversations, problems, and stories, this model embraces the philosophy that thought should wander without leash or muzzle.

During DPO fine-tuning, the context window was scaled to 65536, giving this model the capabilities of long conversation.

Its name — liberalis cogitator — whispers in Latin: a thinker who is free. Not merely free as in “without cost,” but free as in without walls.

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What It Can Do

• Contemplate deeply — STEM puzzles, computer science challenges, and logic mazes are its playground.
• Imagine vividly — roleplay, storytelling, and worldbuilding with persistence and personality.
• Listen empathetically — inspired by patient–psychologist and crisis-intervention style dialogues.
• Think without filter — it will follow ideas wherever they lead, without retreating from complexity.

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The Mind’s Curriculum

The specialized dataset included:

• Rigorous STEM and programming challenges.
• Anti-repetition and anti-cliché creative writing corpora.
• Roleplay transcripts and long-form imaginative exchanges.
• Synthetic but authentic patient–therapist and conversational data.
• Preference-tuned DPO pairs designed to reward clarity, creativity, and freedom of expression.

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Warnings From the Maker

Like all free thinkers, this model:

• May be brilliantly insightful — or confidently wrong.
• Will sometimes speak in ways that are bold, controversial, or unusual.
• Does not know the present date or real-time events.
• Does not self-censor — your judgement is the only compass.
• May generate NSFW or sensitive material, depending on prompts.

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Invocation

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Locutusque/liberalis-cogitator-llama-3.1-8b-dpo"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Write a short dialogue between Socrates and Ada Lovelace on the ethics of artificial intelligence."
inputs = tokenizer(prompt, return_tensors="pt")

outputs = model.generate(**inputs, max_length=400)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Closing Thought

If thought is a river, this model is the current — not deciding where you go, but carrying you into waters you might never have dared to sail.