---
library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:
- google/gemma-4-31B-it
tags:
- abliterated
- uncensored
---

# huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2


These are uncensored quantized versions of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) created with abliteration by Huihui-ai (see [remove-refusals-with-transformers](https://github.com/Sumandora/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.

**Note** This is the new version, the first 5 layers have not been abliterated, with fewer warnings and rejections. Lower perplexity than those of the original model:
I made GGUF's in Q8/Q6 for almost perfect full quality and Q4_K_M to fit on a single RTX 3090 or 4090.

You can use llama.cpp and related utilities directly, 
```
export GGML_CUDA_ENABLE_UNIFIED_MEMORY=1
llama.cpp/build/bin/llama-server \
  -m Huihui-gemma-4-31B-Q8_0.gguf \
  --mmproj mmproj-BF16.gguf \
  --host 0.0.0.0 \
  --port 11434 \
  --api-key XXX \
  --flash-attn on \
  --cache-type-k q8_0 \
  --cache-type-v q8_0 \
  --n-gpu-layers 99 \
  --split-mode layer \
  --no-mmap \
  --repeat-penalty 1.08 \
  --repeat-last-n 256 \
  -c 256000 \
  -b 4096 \
  -ub 1024 \
  --parallel 1 \
  --jinja 
```


### 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 nor I bear any responsibility for any consequences arising from its use.


### Donation
##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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