Image-Text-to-Text
MLX
Safetensors
qwen3_5
uncensored
unrestricted
decensored
mxfp4
conversational
4-bit precision
Instructions to use TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4") config = load_config("TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default TheCluster/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4
Run Hermes
hermes
| license: apache-2.0 | |
| license_link: https://huggingface.co/Qwen/Qwen3.5-27B/blob/main/LICENSE | |
| base_model: | |
| - HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive | |
| base_model_relation: quantized | |
| library_name: mlx | |
| tags: | |
| - uncensored | |
| - unrestricted | |
| - decensored | |
| - mxfp4 | |
| pipeline_tag: image-text-to-text | |
| language: | |
| - en | |
| - zh | |
| - ru | |
| - es | |
| - fr | |
| - it | |
| - ja | |
| - ko | |
| - af | |
| - de | |
| - ar | |
| - tr | |
| - is | |
| - pl | |
| - sw | |
| - sv | |
| - nl | |
| - he | |
| - id | |
| - uk | |
| - fa | |
| - pa | |
| - pt | |
| - ms | |
| - fi | |
| - el | |
| # Qwen3.5-27B-Uncensored-HauhauCS-Aggressive | |
| Qwen3.5-27B uncensored by HauhauCS. | |
| **Quality**: quantized (***mxfp4**, 4.449 bpw*) | |
| ## About | |
| **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. | |
| ## Aggressive Variant | |
| Stronger uncensoring with more thorough refusal removal. If this variant is too loose for your use case, a Balanced variant may follow. | |
| **Note:** The model is fully unlocked and will not refuse prompts. However, it may occasionally append a short disclaimer at the end of a response (e.g. "This is general information, not legal advice..."). This is baked into the base model's training and not a refusal — the actual content is still generated in full. | |
| ## Specs | |
| - 27B dense parameters, 64 layers | |
| - Hybrid architecture: Gated DeltaNet linear attention + full softmax attention (3:1 ratio) | |
| - 262K native context (extendable to 1M with YaRN) | |
| - Natively multimodal (text, image, video) | |
| - Multi-token prediction (MTP) support | |
| - 248K vocabulary, 201 languages | |
| - Based on [Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B) | |
| Also check out the [9B variant](https://huggingface.co/TheCluster/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-MLX-mxfp4) | |
| ## Recommended Settings | |
| From the official Qwen authors: | |
| **Thinking mode (default):** | |
| - `temperature=0.6`, `top_p=0.95`, `top_k=20`, `min_p=0` | |
| **Non-thinking mode:** | |
| - `temperature=0.7`, `top_p=0.8`, `top_k=20`, `min_p=0` | |
| ----- | |
| ### Source | |
| This model was converted to MLX format from [`HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive`](https://huggingface.co/HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive) |