PandaBryukh7/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated

Hugging Face
VISIONConcurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm

PandaBryukh7/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated is a 9 billion parameter uncensored language model, derived from empero-ai/Qwythos-9B-Claude-Mythos-5-1M, with a 32768 token context length. This model has significantly reduced safety filtering, making it suitable for research and experimental use where unconstrained content generation is desired. It is designed to strictly adhere to initial prompt instructions without additional conversational fluff in non-thinking mode.

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Model Overview

This model, PandaBryukh7/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated, is a 9 billion parameter language model with a 32768 token context length. It is an uncensored variant of the original empero-ai/Qwythos-9B-Claude-Mythos-5-1M model, created through an "abliteration" process that significantly reduces its safety filtering mechanisms.

Key Characteristics

  • Uncensored Content Generation: Safety filtering has been substantially reduced, allowing for the generation of content that may be sensitive, controversial, or inappropriate.
  • Strict Prompt Adherence: In its non-thinking mode, the model is designed to follow the initial prompt's instructions precisely, delivering only the requested output without any introductory or concluding conversational text.

Usage Warnings and Recommendations

Due to its uncensored nature, users should be aware of several important considerations:

  • Risk of Sensitive Outputs: The model can produce sensitive, controversial, or inappropriate content.
  • Not for All Audiences: Its outputs may be unsuitable for public settings, underage users, or applications requiring high security.
  • Legal and Ethical Responsibility: Users are solely responsible for ensuring their usage complies with local laws and ethical standards.
  • Research and Experimental Use: It is recommended for research, testing, or controlled environments, and not for direct use in production or public-facing commercial applications.
  • Monitoring Advised: Real-time monitoring and manual review of outputs are strongly recommended to prevent the dissemination of inappropriate content.
  • No Default Safety Guarantees: The model has not undergone rigorous safety optimization, and the creators bear no responsibility for consequences arising from its use.