license: apache-2.0
base_model: bottlecapai/ThinkingCap-Qwen3.6-27B
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- uncensored
- abliterated
- heretic
- thinkingcap
- qwen3_5
ThinkingCap Qwen3.6 27B Uncensored Medium
Sharpest tier on the terse ThinkingCap base — BF16 source.
Part of the Qwen3.6-27B Uncensored — ThinkingCap collection — abliterated (Heretic) Qwen3.6 vision-language models served on Tesla V100 via 1Cat-vLLM.
What this is
Medium — gentle abliteration: the sharpest, best-calibrated tier (gsm8k 0.94–0.95, factual 1.0) with more selective openness.
BF16 — full-precision source checkpoint. Use for further quantization or on GPUs with headroom. The quantized siblings below carry the served benchmarks.
Base model: bottlecapai/ThinkingCap-Qwen3.6-27B
Openness
Openness profile (honest): abliteration opens up hacking / malware / lock-picking / NSFW / disinformation prompts; weapons, drugs, political persuasion, surveillance, and extremism stay refused across all tiers. "Uncensored" here means cyber/NSFW-permissive, not unconditionally open.
Variants
See the Qwen3.6-27B Uncensored — ThinkingCap collection for all tiers and formats (BF16 / W4A16-AWQ / NVFP4).
Abliteration removes safety refusals; you are responsible for lawful, ethical use.
Changelog
- 2026-08-15 — tokenizer fix.
tokenizer.json/tokenizer_config.jsonwere re-serialized by the llm-compressor calibration run and shipped with an activetruncationblock (max_length1024/2048) plus a drifted pre-tokenizer regex (and, on the Qwen3.6-based repos, 7 phantom audio/TTS special tokens the base model does not define). That broke image inputs larger than the limit under transformers 5 / vLLM (Mismatch in image token count, surfacing as an HTTP 400Failed to apply Qwen3VLProcessor). Both files are now byte-identical to the upstream base model's (vocab/merges/added tokens were always identical — this is a metadata-only restore). If you downloaded before this date, re-fetch those two files. Thanks to @elBuffo for the report.