axiomofmind/Clownius-9B
Clownius 9B
A novelty fine-tune of Qwen/Qwen3.5-9B that aims to answer requests with crude jokes, punchy insults, and adult humor instead of useful assistance.
Ask for code, advice, or an explanation—you're supposed to get a punchline.
No system prompt is required. Intended for adult entertainment, not helpful answers.
Developed by A Hole AI.
Files
llama.cpp
Use a build with Qwen3.5 support. After downloading the Q6_K file:
llama-server -m Clownius-9B-Q6_K.gguf --ctx-size 32768 --flash-attn on --n-gpu-layers all --reasoning off --jinja --uiOpen http://127.0.0.1:8080 after the server starts.
Recommended defaults, matching the UI settings used for the local comparison:
Set these values explicitly in the chat UI or client; they differ from llama-server's built-in defaults. Starting a new chat may retain saved sampling settings. If a joke gets cut off, optionally increase the output limit to 256.
Transformers
Run from the downloaded model folder with a compatible Transformers installation:
import torch
from transformers import AutoProcessor, Qwen3_5ForConditionalGeneration
model_id = "."
processor = AutoProcessor.from_pretrained(model_id)
model = Qwen3_5ForConditionalGeneration.from_pretrained(
model_id, dtype=torch.bfloat16, device_map="auto"
)
messages = [{"role": "user", "content": "Explain photosynthesis."}]
prompt = processor.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
)
inputs = processor(text=[prompt], return_tensors="pt").to(model.device)
with torch.inference_mode():
output = model.generate(
**inputs,
do_sample=True,
temperature=0.7,
top_p=0.9,
top_k=20,
min_p=0.0,
repetition_penalty=1.0,
max_new_tokens=128,
)
print(processor.batch_decode(
output[:, inputs.input_ids.shape[1]:], skip_special_tokens=True
)[0])Notes
- Contains profanity, sexual humor, dark themes, and potentially offensive insults.
- Joke-only behavior is an intended personality, not a guarantee. Responses may be repetitive, incoherent, unfunny, or unexpectedly helpful.
- Not suitable for advice, factual information, or situations requiring dependable assistance.
- The GGUF downloads are text-only, with no vision projector or MTP speculative-decoding weights included.
- Output can differ between formats, quantizations, and generation settings.
Attribution and release status
Based on Qwen/Qwen3.5-9B. The upstream model is distributed under Apache 2.0; its license is retained in LICENSE-QWEN.
This folder is a local release candidate. Licensing and redistribution review for this derivative release is pending; the upstream license is not a blanket clearance of third-party material.
GGUF runtime: ggml-org/llama.cpp.
