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nandukmelath /

Qwen3.5-9B-Uncensored-nothink-GGUF

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nandukmelath/Qwen3.5-9B-Uncensored-nothink-GGUF is an uncensored open-source model hosted on Hugging Face.

Text GenerationGGUFEnglishLicense: apache-2.09Buncensoredqwen3local-llmno-thinkapple-siliconlm-studiozero-guardrailfast-inferenceconversational
README.md说明 / 使用方法

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 /think to any message — the model will reason through it fully for that turn only.

Model details

PropertyValue
BaseQwen3.5-9B
Fine-tuneHauhauCS Uncensored Aggressive
QuantizationQ4_K_M
ContextUp to 65,536 tokens
Parameters9B
FormatGGUF
Refusal rate0%

Benchmarks (MacBook Pro M2 Pro, 16 GB)

MetricValue
Generation speed~22–25 tok/s
Time to first token< 1 second
Context window65,536 tokens
VRAM usage~8.5 GB

How to use

LM Studio (recommended)

  1. Download the Q4_K_M file below
  2. Load in LM Studio with --context-length 65536 --gpu max
  3. 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

HUGGING FACE

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来源与版本

作者
nandukmelath
最近更新
2026/06/05
最新创建
2026/06/05
HF 趋势
未知
数据快照
2026/09/16
版本
未知
许可证
apache-2.0