⚠️ 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
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# 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
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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
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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:

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

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.