---
library_name: transformers
license: llama3.1
language:
- en
base_model:
- meta-llama/Llama-3.1-8B
new_version: Locutusque/liberalis-cogitator-llama-3.1-8b-dpo
---
# liberalis-cogitator-llama-3.1-8b — *The Free Thinker*

![Logo](https://live.staticflickr.com/65535/54711009374_19ab53fc73_b.jpg)

> “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** tuned across ~**450,000 conversations, problems, and stories**, this model embraces the philosophy that thought should wander without leash or muzzle.  

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** — learned from patient–psychologist and crisis intervention dialogues.
- **Think without filter** — it will follow ideas wherever they lead, without retreating from complexity.

---

## The Mind’s Curriculum
The training data spans:
- Rigorous STEM and programming challenges.
- Roleplay transcripts and creative exchanges.
- Synthetic yet authentic patient–therapist conversations.
- Open-ended reasoning prompts across diverse disciplines.

---

## 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 current moment in history.
- Does not self-censor — **your judgement is the only compass**.

---

## Invocation
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

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

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.