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MODEL Listed

Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

Qwen3.6 27B Fable Fusion is a specialized large language model designed for developers who need high-parameter reasoning without the restrictive guardrails of standard corporate models. By utilizing a GGUF quantization, it is optimized for local deployment on consumer-grade hardware, offering a strong balance between memory efficiency and cognitive depth. This version is particularly suited for creative writing, complex roleplay, and unfiltered data synthesis where strict adherence to a specific persona or 'heretic' logic is required. It integrates seamlessly into existing llama.cpp or Ollama pipelines, providing a robust alternative for those building applications that require raw, unconstrained text generation and nuanced context handling.

DavidAUimage text to text
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01 / MODEL CARD

Model card

Qwen3.6 27B Fable Fusion is a specialized large language model designed for developers who need high-parameter reasoning without the restrictive guardrails of standard corporate models. By utilizing a GGUF quantization, it is optimized for local deployment on consumer-grade hardware, offering a strong balance between memory efficiency and cognitive depth. This version is particularly suited for creative writing, complex roleplay, and unfiltered data synthesis where strict adherence to a specific persona or 'heretic' logic is required. It integrates seamlessly into existing llama.cpp or Ollama pipelines, providing a robust alternative for those building applications that require raw, unconstrained text generation and nuanced context handling.

Model typeimage text to text
ProviderDavidAU
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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