Refusals Removed: The text component of the model was processed using the abliteration technique (orthogonalized against refusal directions). As a result, the model will no longer reply with standard refusals like "I can't describe or analyze this image." when prompted with potentially sensitive images [1].
Capabilities: Multimodal / Vision-Language (Image-Text-to-Text) [1].
Language: Multilingual / Conversational [1].

Note: Only the text-generation part was abliterated; the vision encoder retains its original mapping [1].

🚀 How to Run

You can run this model using llama.cpp or UI tools based on it (such as LM Studio, Ollama, text-generation-webui, etc.).

Using `llama.cpp` (Command Line)

Because this is a Vision-Language Model (VLM), you must pass the multimodal projector file (--mmproj) alongside the main model to process images.

bash

# Example command using llama-cli
./llama-cli \
  -m Huihui-Step3-VL-10B-abliterated-Q4_K_M.gguf \
  --mmproj Huihui-Step3-VL-10B-abliterated-mmproj-f16.gguf \
  --image path/to/your/image.png \
  -p "Describe this image in detail." \
  -c 4096 \
  -temp 0.7

Note: Please ensure you are using a recent version of llama.cpp that supports the Step3-VL architecture.

⚠️ Usage Warnings (From the Original Author)

Risk of Sensitive or Controversial Outputs: This model's safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content [1]. Users should exercise caution and rigorously review generated outputs.
Not Suitable for All Audiences: Due to limited content filtering, the model's outputs may be inappropriate for public settings, underage users, or applications requiring high security [1].
Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences [1].
Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications [1].
No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. The authors bear no responsibility for any consequences arising from its use [1].

💖 Credits

Original Base Model: stepfun-ai [1]
Abliteration processing: huihui-ai [1]
GGUF Quantization: 2lains

2lains/Huihui-Step3-VL-10B-abliterated-GGUF

Huihui-Step3-VL-10B-abliterated-GGUF

⚠️ Note on Vision Capabilities

🌟 About the Original Model

🚀 How to Run

Using llama.cpp (Command Line)

⚠️ Usage Warnings (From the Original Author)

💖 Credits

2lains/
Huihui-Step3-VL-10B-abliterated-GGUF

Using `llama.cpp` (Command Line)