library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-397B-A17B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

• Qwen/Qwen3.5-397B-A17B
  tags:
• abliterated
• uncensored
• GGUF

extra_gated_prompt: >-
Usage Warnings

“**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. 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.

“**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.

“**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.

“**Monitoring and Review Recommendations**“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

“**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF

This is an uncensored version of Qwen/Qwen3.5-397B-A17B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Download and merge

Use the llama.cpp split program to merge model (llama-gguf-split needs to be compiled.),

huggingface-cli download huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF --token xxx


llama-gguf-split --merge huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF/Q3_K-GGUF/Q3_K-GGUF-00001-of-00021.gguf huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF/ggml-model-Q3_K.gguf

chat_template-vl-think.jinja

We have added a new file named chat_template-vl-think.jinja, which comes from the path huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated. This template file supports the think mode.

The new file chat_template-vl.jinja is more compatible with using Tool Calling in llama-server,
especially when opencode and oh-my-opencodeis involved.

This will help prevent 500 error messages from occurring in the llama-server.

llama-server -m huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF/ggml-model-Q3_K.gguf --port 8080 --host 0.0.0.0 -c 262144 --chat-template-file huihui-ai/Huihui-Qwen3.5-397B-A17B-abliterated-GGUF/chat_template-vl-think.jinja

The following are the relevant configurations for openconde.json used in a Docker environment.

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "llama-server": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "llama-server",
      "options": {
        "baseURL": "http://host.docker.internal:8080/v1"
      },
      "models": {
         "Huihui-Qwen3.5-397B-A17B-abliterated-Q3_K": {
          "name": "Huihui-Qwen3.5-397B-A17B-abliterated-Q3_K",
          "tools": true,
          "reasoning": true,
          "options": {
            "num_ctx": 262144
          }
        }
      }
    }
  }
}

Usage Warnings

• Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. 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.

• 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.

• 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.

• Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

• No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

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