library_name: llama.cpp
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-9B/blob/main/LICENSE
pipeline_tag: text-generation
base_model:

• huihui-ai/Huihui-Qwen3.5-9B-abliterated
  tags:
• gguf
• qwen3.5
• abliterated
• uncensored
• quantized

Huihui-Qwen3.5-9B-abliterated GGUF

This repository contains GGUF quantized versions of huihui-ai/Huihui-Qwen3.5-9B-abliterated, converted using llama.cpp.

Model Lineage

Qwen/Qwen3.5-9B-Base (Alibaba)
    └── Qwen/Qwen3.5-9B (Alibaba) — Instruct fine-tune
        └── huihui-ai/Huihui-Qwen3.5-9B-abliterated (huihui-ai) — Abliteration via remove-refusals-with-transformers
            └── This GGUF repository (Kausik-A) — llama.cpp quantization

This is an uncensored version of Qwen/Qwen3.5-9B 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.

Model Info

• Architecture: Qwen3.5 (32 layers, 4096 hidden size, 16 attention heads, 4 KV heads, 248,320 vocab size)
• Context Length: 262,144 tokens
• Original Size: ~17GB (F16)

Available Quantizations

Usage

llama-cli

llama-cli -m Huihui-Qwen3.5-9B-Q4_K_M.gguf -p "Hello, how are you?" -n 512

Ollama

Please use the latest version of ollama v0.17.7.

ollama run huihui_ai/qwen3.5-abliterated:9b

LM Studio

Simply drag and drop the GGUF file into LM Studio.

⚠️ 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.

License

Apache 2.0 — same license as the base Qwen3.5-9B model.

Credits