Andronovo/Huihui-CyberStrike-OffSec-35B-abliterated

Hugging Face
TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm

Huihui-CyberStrike-OffSec-35B-abliterated is a 35.1 billion parameter uncensored causal language model developed by huihui-ai. It is an abliterated version of oyildirim/CyberStrike-OffSec-35B, specifically modified to remove refusal behaviors. This model is intended for research and experimental use in controlled environments where reduced safety filtering is desired, offering a proof-of-concept for refusal removal techniques.

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Overview

Andronovo/Huihui-CyberStrike-OffSec-35B-abliterated is a 35.1 billion parameter language model created by huihui-ai. It is an uncensored variant of the oyildirim/CyberStrike-OffSec-35B model, developed using an "abliteration" technique to remove refusal behaviors. This model serves as a proof-of-concept for methods to modify LLM responses without using TransformerLens, aiming to provide a model with significantly reduced safety filtering.

Key Characteristics

  • Uncensored Nature: Modified to remove refusal mechanisms, allowing for a broader range of outputs.
  • Abliteration Technique: Utilizes a specific method (referenced as remove-refusals-with-transformers) for altering model behavior.
  • Base Model: Derived from oyildirim/CyberStrike-OffSec-35B.
  • MTP File: Includes an MTP file from Qwen/Qwen3.6-35B-A3B, primarily for llama.cpp usage.

Usage Warnings

Due to its uncensored nature, this model comes with significant warnings:

  • Risk of Sensitive Outputs: May generate controversial, inappropriate, or sensitive content.
  • Not for All Audiences: Unsuitable for public-facing applications, underage users, or high-security environments.
  • User Responsibility: Users are solely responsible for legal and ethical compliance of generated content.
  • Research Use Only: Recommended for research, testing, or controlled environments, not for production.
  • No Safety Guarantees: huihui.ai disclaims responsibility for consequences arising from its use, as it lacks rigorous safety optimization.