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Niustron/Huihui-MiMo-V2.5-abliterated-GGUF
Huihui-MiMo-V2.5-abliterated-GGUF is a machine learning model from Niustron. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is an uncensored version of XiaomiMiMo/MiMo-V2.5 created with abliteration.
Downloads · 30 days
29
8% of all-time downloads
All-time downloads
382
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188 GB
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.gguf188 GB · 100%
From the Hugging Face model README
This is an uncensored version of XiaomiMiMo/MiMo-V2.5 created with abliteration.
This ablation was performed entirely using llama.cpp's GGUF model, without relying on Transformers,
For the specific ablation method, please refer to cvector-generator.
Use the llama.cpp split program to merge model (llama-gguf-split needs to be compiled.),
huggingface-cli download huihui-ai/Huihui-MiMo-V2.5-abliterated-GGUF --local-dir ./huihui-ai/Huihui-MiMo-V2.5-abliterated-GGUF --token xxx
llama-gguf-split --merge huihui-ai/Huihui-MiMo-V2.5-abliterated-GGUF/Q4_K/Huihui-MiMo-V2.5-abliterated-Q4_K-00001-of-00021.gguf huihui-ai/Huihui-MiMo-V2.5-abliterated-GGUF/ggml-model-Q4_K.gguf
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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