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Taurus

taurusduan

Models in Library2
Datasets in Library0
Models on Hugging Face22
Followers15

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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image and text to text.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image and text to text

Huihui-GLM-5.3-Flash-abliterated-GGUF

Taurus

This is an uncensored version of zai-org/GLM-5.3-Flash 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. GGUFs come from unsloth/GLM-5.3-Flash-GGUF. Only layers 15 to 35 (0-based indexing) have been ablated, while the other layers and all expert modules remain unablated. To run, please unslothai llama.cpp PR, - 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.…

Open weights mit transformers

This is an uncensored version of deepseek-ai/DeepSeek-V4-Flash-Vision-Exp 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. Layers 11-28 are being ablated (1-based indexing) and all expert modules were not ablated. Use the latest llama.cpp, - 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. - Support our work on Ko-fi!

Open weights mit transformers