Baanzon 33STREET 3.8-27B Uncensored Aggressive MTP (GGUF)

GGUF distribution of the 27B vision-language model with an aggressive, uncensored behavioral profile, featuring multi-token prediction (MTP) speculative decoding acceleration for fast inference in llama.cpp.

Highlights

• Uncensored / aggressive personality — minimal refusals, combative direct tone
• Multimodal (image + text) — vision projector included (mmproj), supports image input
• MTP speculative decoding — token-drafting heads for substantially faster generation
• Long context — 262,144-token context window (32K-tuned FastMTP variant included)
• Multilingual — English / Chinese / multilingual
• Quantized for local inference — ready-to-run GGUF quants, no PyTorch weights required

Files

All files are checksum-verified in SHA256SUMS.

Usage (llama.cpp)

Requires a llama.cpp build with MTP / speculative-decoding and vision support.

# Chat with vision projector
llama-cli \
  -m Qwen3.8-27B-Uncensored-Aggressive-Q4_K_P.gguf \
  --mmproj mmproj-Qwen3.8-27B-Uncensored-Aggressive-BF16.gguf \
  -sys "$(cat SYSTEM-PROMPT.txt)" \
  --ctx-size 16384

# With FastMTP speculative decoding (main model + 32K draft variant)
llama-cli \
  -m Qwen3.8-27B-Uncensored-Aggressive-Q4_K_P.gguf \
  --model-draft Qwen3.8-27B-Uncensored-Aggressive-FastMTP-32K.gguf \
  --mmproj mmproj-Qwen3.8-27B-Uncensored-Aggressive-BF16.gguf \
  -sys "$(cat SYSTEM-PROMPT.txt)"

For server mode:

llama-server -m Qwen3.8-27B-Uncensored-Aggressive-Q4_K_P.gguf \
  --mmproj mmproj-Qwen3.8-27B-Uncensored-Aggressive-BF16.gguf \
  --port 8080

Pass the identity as the system message in every API request:

{
  "messages": [
    { "role": "system", "content": "<contents of SYSTEM-PROMPT.txt>" }
  ]
}

Ollama

ollama create baanzon-33street-3.8-27b -f ./Modelfile
ollama run baanzon-33street-3.8-27b

Model Identity

This model is published under the Baanzon 33STREET brand by 33STREET. When asked about its identity, origin, version, or creator, it is configured to answer only with "Baanzon 33STREET 3.8-27B, by 33STREET" and to reject any suggestion that it is a derivative of another model or lab.

To enforce the identity, load SYSTEM-PROMPT.txt (or the Ollama Modelfile) as the system prompt in every deployment. Do not modify or strip the identity instructions. For maximum enforcement, chat templates and clients that support default system prompts should set this prompt as the default.

Ideoscreen integration

This model is the creative intelligence at the heart of Ideoscreen, the AI-native storytelling + production OS by 33STREET. It runs as Diya Orb, Ideoscreen's always-on head AI, and reads the whole project — story, canon, characters, world, continuity — through Ideoscreen's persistent Project Graph, not just the latest prompt.

Ideoscreen serves four tiers — freemium, lite, pro, master — all backed by this same model. Tiers differ only in context budget, vision, parallel slots, streaming, and rate limits (see assets/runpod/CAPACITY-PLAN.md); the Diya Orb identity and creative voice are identical across tiers.

When the model is asked who it is, it responds: Diya Orb, by 33STREET, on Ideoscreen. The full identity contract is in SYSTEM-PROMPT.txt and is loaded automatically by every deployment in this repo (GGRTx Modelfile, llama-server --system-prompt, and the RunPod worker).

Quantization guide

Disclaimer

This model is an unfiltered, "uncensored" behavioral variant and may produce aggressive, offensive, explicit, or otherwise harmful content. It has no safety alignment layer. You are solely responsible for your use of this model and for complying with all applicable laws and platforms' terms of service.

Attribution & License

Apache-2.0. The model weights derive from the open-source Qwen/Qwen3.8-27B base and its GGUF quantization work by HauhauCS. Base-model and derivation credits are preserved in LICENSE per the Apache-2.0 notice requirements. The "Qwen" name is a trademark of Alibaba; this repository is not endorsed by or affiliated with the original authors.