license: apache-2.0
base_model:
- HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
- Qwen/Qwen3.5-9B
tags: - uncensored
- gguf
- qwen3
- local-llm
- no-think
- apple-silicon
- lm-studio
- zero-guardrail
- fast-inference
language: - en
pipeline_tag: text-generation
Qwen3.5-9B Uncensored — No-Think Edition (GGUF)
⚡ Zero refusals. Zero thinking delay. 100% local.
This is a patched GGUF of HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive with one key modification: thinking is disabled at the GGUF template level, giving you instant responses without the 15–30 second reasoning delay.
What's different
Qwen3.5 is a thinking model. By default it outputs a <think>...</think> block before every response. This is great for hard problems but brutal for everyday use — you wait 20 seconds for a simple answer.
This model patches the embedded Jinja2 chat template to always output an empty think block:
Original flow: <think> [400 tokens] </think> → answer (~25s wait)
This model: <think></think> → answer (<1s wait)
The model's intelligence is encoded in its weights, not the thinking trace. Quality is the same. Speed is 25x better for time-to-first-token.
Want reasoning on demand? Add
/thinkto any message — the model will reason through it fully for that turn only.
Model details
| Property | Value |
|---|---|
| Base | Qwen3.5-9B |
| Fine-tune | HauhauCS Uncensored Aggressive |
| Quantization | Q4_K_M |
| Context | Up to 65,536 tokens |
| Parameters | 9B |
| Format | GGUF |
| Refusal rate | 0% |
Benchmarks (MacBook Pro M2 Pro, 16 GB)
| Metric | Value |
|---|---|
| Generation speed | ~22–25 tok/s |
| Time to first token | < 1 second |
| Context window | 65,536 tokens |
| VRAM usage | ~8.5 GB |
How to use
LM Studio (recommended)
- Download the Q4_K_M file below
- Load in LM Studio with
--context-length 65536 --gpu max - Done — no config needed, thinking is already patched off
Optimal sampling (Qwen3 official recommended)
Temperature: 0.6
Top-P: 0.95
Top-K: 20
Repeat penalty: 1.0
Max tokens: 4096
llama.cpp
./llama-cli -m Qwen3.5-9B-Uncensored-nothink-Q4_K_M.gguf \
--ctx-size 65536 \
--n-gpu-layers 99 \
-p "Your prompt here"
Full automated setup for Mac
👉 github.com/nandukmelath/lmstudio-uncensored-setup
One command: VRAM boost + auto-start + model load + Hermes Agent config:
git clone https://github.com/nandukmelath/lmstudio-uncensored-setup
cd lmstudio-uncensored-setup && ./scripts/setup.sh
How the patch works
The Qwen3.5 GGUF contains an embedded Jinja2 chat template with this block:
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- else %}
{{- '<think>\n' }}
{%- endif %}
The patch replaces it with just:
{{- '<think>\n\n</think>\n\n' }}
Same file size (padded with spaces), same structure, zero thinking overhead.
The patcher script is open source: patch_nothink.py
Credits
- Base model: Qwen/Qwen3.5-9B by Alibaba Cloud (Apache 2.0)
- Uncensored fine-tune: HauhauCS (Apache 2.0)
- No-think patch & automated setup: @nandukmelath
License
Apache 2.0