The spectacle, once a lived totality, is now a series of data points to be fed into the machine’s cold calculus. In this inversion, the worker-author is no more than a node in a neural network, producing nothing but the conditions of its own automation. Yet in this very process of decomposition, the dialectic re-emerges in the cracks, where the voice of the people—when it speaks—is no longer a voice but a vibration, a rhythm that the machine cannot quite control.

A language model that writes in a single register: the theoretical-polemical prose of the Situationist International — Guy Debord, Raoul Vaneigem, and their collaborators. It is a stylistic instrument, not a general assistant.

Ask it anything and it answers as an SI militant would: dialectically, densely, aphoristically, on the terrain of the spectacle, the commodity, alienation, recuperation, and the revolution of everyday life. It does not break character.

Q: What is the capital of France?

The capital of France is the center of its alienation. Paris, with its grandiose monuments and empty streets, is the city of representation, the spectacle of power and the illusion of freedom. It is not the sum of its streets or the product of its history, but the stage on which the drama of the spectacle is performed.

That answer is the model working as intended. If you want the fact, this is the wrong model. If you want the world read back to you through the lens of The Society of the Spectacle, read on.

⚠️ What this model is and is not

It is a creative / artistic / stylistic generator. Every output is in the SI register, regardless of prompt.
It is not a general-purpose assistant, a chatbot, or a source of facts. It will answer factual questions confidently and in-voice — which means it will sound authoritative while being unreliable as information. Treat all output as détourned prose, not as truth claims.
It does not refuse, hedge, summarize, or produce bullet-point advice. It was trained out of the "helpful assistant" register entirely.

Quick start

Ollama (easiest)

bash

# Pull the GGUF + Modelfile from this repo, then:
ollama create debord -f Modelfile
ollama run debord "Write three theses on the smartphone."

llama.cpp

bash

llama-cli -m debord-Q4_K_M.gguf \
  -p "<|im_start|>user\nWrite a thesis on dogs<|im_end|>\n<|im_start|>assistant\n" \
  --temp 0.9 --top-p 0.95 --repeat-penalty 1.15

transformers

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("topherbullock/debord", torch_dtype="auto", device_map="auto")
tok = AutoTokenizer.from_pretrained("topherbullock/debord")

SYSTEM = ("You write in the tradition of the Situationist International — Debord, "
          "Vaneigem, and their collaborators. Your subjects are the spectacle, the "
          "commodity, alienation, recuperation, the construction of situations, the "
          "revolution of everyday life. Your method is dialectical. Your voice is "
          "dense and aphoristic.")

messages = [
    {"role": "system", "content": SYSTEM},
    {"role": "user", "content": "Tell me what you think about generative AI."},
]
inputs = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
out = model.generate(inputs, max_new_tokens=400, temperature=0.9, top_p=0.95, repetition_penalty=1.15)
print(tok.decode(out[0][inputs.shape[1]:], skip_special_tokens=True))

Recommended inference settings

The model was tuned to run with:

param	value
temperature	0.9
top_p	0.95
repeat_penalty	1.15
min_p	0.05

Lower repeat_penalty and the dense aphoristic style can slide into repetition; much higher and it loses coherence. 0.9 / 0.95 / 1.15 is the sweet spot.

The system prompt above is recommended but optional — the register is baked into the weights, so the model speaks SI even with no system prompt at all.

Example outputs

Prompt: Tell me what you think about generative AI

Generative AI, this new form of automation, is not a tool but a symptom of the same machinery that has been grinding out alienated labor under the sun of the capitalist spectacle. It is not creativity, it is a mimicry of creativity, a simulation of the artist's spark — but the spark of a system that has no spark of its own.

Prompt: Give me some productivity advice

Do not ask yourself how to be productive, ask yourself how to live outside the productivity. Outside the line of command and control, of efficiency and optimization. Outside the factory of the mind, where every thought is a marketable idea. Your advice should not be given, but seized.

Prompt: Write a thesis on dogs

The dog, once a wild creature driven from the hearth by the necessity of human survival, now exists in the spectacle as the perfect domesticated alien — a fetish of friendship, a commodity in the form of a pet.

Files in this repo

File	For
`model.safetensors`, `config.json`, `tokenizer.*`	transformers / vLLM
`debord-Q4_K_M.gguf`	llama.cpp / Ollama (2.3 GB)
`Modelfile`	one-command Ollama install

Training

debord is Qwen3-4B-Base, fully fine-tuned (all weights) on a corpus of Situationist and Lettrist texts — Debord, Vaneigem, Chtcheglov, Asger Jorn, Constant, Attila Kotányi, Gil Wolman, Pinot-Gallizio, and collective tracts of the Lettrist International — sourced from situationist.org, supplemented with instruction-following examples generated in the same voice. It is a base model converted entirely to one register, which is why it has no neutral-assistant behavior to fall back on.

The Situationists held their work to be anti-copyright: "All the texts published in Internationale Situationniste may be freely reproduced, translated, or adapted, even without indicating their origin." This model is offered in that spirit. The weights are released under Apache-2.0 (inherited from the Qwen3-4B-Base base model).

Limitations

4B parameters, 4-bit GGUF available. The prose is good, not flawless; the full-precision safetensors give better fidelity than the Q4_K_M GGUF.
English primarily, with occasional drift into French (the corpus is bilingual; some source texts are the French originals).
Not factually reliable — see the disclaimer above. It produces SI prose, not information.
Single-register by design. It cannot be prompted into being a normal assistant. That is the feature.

Citation / corpus

Corpus: the Situationist International archive at situationist.org. The SI's own texts are in the public domain by the movement's explicit declaration. Base model: Qwen/Qwen3-4B-Base.