license: apache-2.0 base_model: HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive base_model_relation: quantized pipeline_tag: image-text-to-text inference: false language:

• en
• zh
• multilingual tags:
• llamafile
• gguf
• qwen3.5
• multimodal
• vision
• uncensored
• quantized
• q6_k
• apple-silicon
• metal

Qwen3.5-9B Uncensored HauhauCS Aggressive Q6_K — llamafile

An unofficial, reproducible llamafile package of the Q6_K GGUF from HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive.

HauHauCS claims:

0/465 refusals. Fully uncensored with zero capability loss.

No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended — just without the refusals.

These are meant to be the best lossless uncensored models out there.

The single executable contains:

• Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf;
• mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf for image input;
• llamafile 0.10.5; and
• terminal chat, browser chat, and a localhost API server.

The model and projector were embedded without retraining, merging, or re-quantization.

Intended use

This package is for people who want one downloadable executable containing a capable, uncensored, local Qwen3.5 9B model, its vision projector, a terminal chat interface, a browser chat interface, and a localhost API server. It is convenient for offline or self-contained macOS/Linux use where installing a separate inference runtime is undesirable.

Because everything is in one file, you can keep it on a USB drive and bring a self-contained local AI with you. That means you can carry a fully capable, uncensored AI on one drive—one that, according to HauHauCS's claim above, does not refuse prompts or instructions. The destination computer still needs a supported 64-bit platform and enough RAM, and the drive or filesystem must permit executable files.

Included artifact

Embedded components

Run

On macOS or Linux:

chmod +x Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.llamafile
./Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.llamafile

The terminal chat starts directly. While it is running, open the browser chat Web UI at:

http://127.0.0.1:8080/

The OpenAI-compatible API is available under:

http://127.0.0.1:8080/v1

The server is bound to localhost by default. Do not expose it publicly without authentication, TLS, and appropriate network controls.

Packaged defaults

• context: 8,192 tokens;
• sampler: temperature 0.6, top-p 0.95, top-k 20, min-p 0.0;
• Jinja chat templates enabled;
• multimodal image input enabled through the embedded BF16 projector.

To override the context size, pass --ctx-size when launching; for example:

./Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.llamafile --ctx-size 32768

Larger contexts increase memory use. The upstream model advertises a much larger native context, but practical limits depend on the runtime, KV-cache settings, and available memory.

Provenance

• modified/uncensored model and GGUF source: HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
• upstream model family: Qwen3.5 9B
• quantization: Q6_K
• projector precision: BF16
• package runtime: Mozilla llamafile 0.10.5
• license: Apache-2.0, following the upstream repository

Notes

• This is an unofficial repackaging, not a new model release.
• The embedded projector makes the package multimodal; image handling still depends on client/UI support in the embedded runtime.
• The upstream repository describes the model as aggressively uncensored. This package does not independently reproduce or validate its refusal-rate claims.
• The packaged 8,192-token default is conservative. Override it with --ctx-size N, such as --ctx-size 32768, if your memory budget permits.
• This full-runtime artifact is larger than 4 GiB, so it is intended primarily for macOS and Linux rather than direct execution on Windows.
• Hugging Face hosted inference is disabled because this repository distributes a standalone executable rather than a standard hosted-inference checkpoint.