AnalysisOpinion / analysisEfficiency & Inference · Safety & Alignment · Reinforcement Learning1 source · Oct 17, 2026

Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF

Defiance puts DavidAU's Turbo-Brilliance "AI Construct" modes on HauhauCS's uncensored Qwen3.8-27B.

Proof1 community thread

Key points

  • You pick a mode (Joker, Dr. House, a 20-agent Einstein panel, a Socratic tutor) per request, and the uncensored weights answer it without hedging.
  • Modes: the chat template from DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF, with nine edits.
  • Decode ran at 86-90 tok/s in instruct mode, with 38-42% of FastMTP draft tokens accepted. llama-server used 21.4 GB at 131K context.
  • I checked Q6KP at the file level only: the embedded template matches, and all tensors match HauhauCS's Q6KP.

Sources (1)

  • [1]Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF
    r/LocalLLaMA (top, daily) · Oct 17, 06:23 AM
    Defiance puts DavidAU's Turbo-Brilliance "AI Construct" modes on HauhauCS's uncensored Qwen3.8-27B.
    You pick a mode (Joker, Dr. House, a 20-agent Einstein panel, a Socratic tutor) per request, and the uncensored weights answer it without hedging.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 17, 2026Nemotron 3.5 Bolt, Muse Spark Open, and a Fast LFM2.5 24B
  2. Oct 17, 2026llama.cpp has come a long way
  3. Oct 16, 2026nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8
  4. Oct 15, 2026QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases
  5. Oct 15, 2026unslothai/unsloth v0.1.908-beta: NVIDIA Nemotron 3.5 + Meta Muse Spark Open
  6. Oct 15, 2026ggml-org/llama.cpp v0.7.0

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