chimingw/qwen3.5-9b-uncensored-hauhaucs-aggressive-q6-k-llamafile

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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

File Size SHA-256
Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.llamafile 8,631,895,294 bytes (8.63 GB / 8.04 GiB) 14c36aee0b6a316486903033d1930a0c212fb87e0e19d21e67a3ac400d1863c0

Embedded components

Component Size SHA-256
Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf 7,359,259,008 bytes c0ba7beb68fd3fe47891bd549486d38dcf62d00817296ea314ad37017f5a4986
mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf 921,704,448 bytes 05f662501f8bd45607b079723a3e238a4e888fd085a10a53f4057a0e250f6934
llamafile-0.10.5 runtime 350,768,862 bytes 417bcc3348cd5162c2751812fc0ea2f6e79e89e7be6f17e8401ed95de2ed4246

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

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.