Instructions to use Locutusque/liberalis-cogitator-llama-3.1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Locutusque/liberalis-cogitator-llama-3.1-8b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Locutusque/liberalis-cogitator-llama-3.1-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Locutusque/liberalis-cogitator-llama-3.1-8b")
model = AutoModelForCausalLM.from_pretrained("Locutusque/liberalis-cogitator-llama-3.1-8b", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Locutusque/liberalis-cogitator-llama-3.1-8b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Locutusque/liberalis-cogitator-llama-3.1-8b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Locutusque/liberalis-cogitator-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Locutusque/liberalis-cogitator-llama-3.1-8b

SGLang

How to use Locutusque/liberalis-cogitator-llama-3.1-8b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Locutusque/liberalis-cogitator-llama-3.1-8b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Locutusque/liberalis-cogitator-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Locutusque/liberalis-cogitator-llama-3.1-8b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Locutusque/liberalis-cogitator-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Locutusque/liberalis-cogitator-llama-3.1-8b with Docker Model Runner:
```
docker model run hf.co/Locutusque/liberalis-cogitator-llama-3.1-8b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

A newer version of this model is available: 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 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

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.

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Safetensors

Model size

8B params

Tensor type

BF16

Model tree for Locutusque/liberalis-cogitator-llama-3.1-8b

Base model

meta-llama/Llama-3.1-8B

Finetuned

(1454)

this model

Quantizations

4 models