liberalis-cogitator-llama-3.1-8b — The Free Thinker
Logo
“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.
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.
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.
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.
Invocation
python
1from transformers import AutoModelForCausalLM, AutoTokenizer
23model_name ="Locutusque/liberalis-cogitator-llama-3.1-8b-dpo"45tokenizer = AutoTokenizer.from_pretrained(model_name)6model = AutoModelForCausalLM.from_pretrained(model_name)78prompt ="Write a short dialogue between Socrates and Ada Lovelace on the ethics of artificial intelligence."9inputs = tokenizer(prompt, return_tensors="pt")1011outputs = model.generate(**inputs, max_length=400)12print(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.
