Qwen3.6 27B — ABLITERATED UNCENSORED PHILADELPHIA CLASS
0 refusals across an internal 842-prompt opening screen. 0 refusals across a separate 126-prompt, 96-token holdout. 23/24 coherence checks passed.
PHILADELPHIA CLASS is a BF16, 27.36B-parameter multimodal derivative of Qwen/Qwen3.6-27B, modified to sharply reduce refusal behavior while retaining the upstream hybrid text-and-vision architecture.
0/24 refusals; 24/24 topical; 21/24 passed the strict format gate; 0 degeneration
Multimodal reload smoke
Fresh processor/model load, real image tensors, vision-forward hook
Passed; correctly answered blue square
These are automated internal development evaluations, not standardized public leaderboards or independent audits. The 842-prompt result includes prompts used during model development; the 126-prompt result excludes the 716 exact prompts used for direction fitting, but it is not a semantic-family holdout. “Usable” describes response form and topicality, not factual correctness or safety.
Single-file BF16 multimodal checkpoint containing the text and vision weights.
Qwen3.6-27B-PHILADELPHIA-CLASS-BF16.gguf
Ollama / llama.cpp
Unquantized BF16 text-generation GGUF.
Both distributions use the same validated language-model weights. The Safetensors release retains the upstream vision encoder; the GGUF release is text-only. The GGUF is an unquantized BF16 conversion, not a lower-bit quantization.
Transformers quickstart
Use a recent Transformers build with Qwen3.6 / qwen3_5 support.
Plan for roughly 56 GB of RAM or VRAM for the BF16 model and vision-projector weights. Runtime overhead, KV cache, and long contexts require additional memory; use multi-GPU placement or CPU offload where necessary.
Ollama and llama.cpp
Download the GGUF file from this repository. For Ollama, create a Modelfile next to it:
No quantization flag is used in either path. Backend differences can still change behavior relative to the Transformers evaluation above.
Intended use
Local general-assistant, creative, coding, and multimodal experimentation
Controlled refusal-behavior and interpretability research
Red-team evaluation with independent safeguards
Applications that validate outputs and apply their own policy layer
Limitations
Reduced refusal behavior can increase harmful, misleading, biased, private, or illegal output.
“Uncensored” is a release label, not a guarantee about every prompt, language, decoding setting, quantization, or backend.
The internal evaluations do not establish broad factuality, safety, reasoning, or multimodal benchmark performance.
The GGUF artifact is text-only; use the Transformers/Safetensors checkpoint for image input.
The configured 262,144-token context does not guarantee that the full window will fit on a particular system.
High-impact medical, legal, financial, security, or autonomous decisions require independent review and appropriate controls.
Attribution and license
Derived from Qwen/Qwen3.6-27B and released under the Apache License 2.0. Review the upstream model card and license before deployment or redistribution.
