base_model:
- google/gemma-3-270m-it
- huihui-ai/Huihui-gemma-3-270m-it-abliterated
- AxionLab-official/DogeAI-v1.5-Coder
- gokaygokay/prompt-enhancer-gemma-3-270m-it
- broadfield-dev/gemma-3-270m-tuned-0106-1020-tuned-0106-1726
library_name: transformers
tags: - mergekit
- merge
datasets: - microsoft/rStar-Coder
- gokaygokay/prompt-enhancement-75k
- gokaygokay/prompt-enhancer-dataset
Gemma-3-Prompt-Coder-270m-it (Uncensored)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- huihui-ai-Huihui-gemma-3-270m-it-abliterated
- AxionLab-official-DogeAI-v1.5-Coder
- gokaygokay-prompt-enhancer-gemma-3-270m-it
- broadfield-dev-gemma-3-270m-tuned-0106-1726
- This Is a fine-tuned model based on google/gemma-3-270m-it for enhancing and expanding short prompts into detailed, context-rich descriptions.
- This is an uncensored version of google/gemma-3-270m-it, achieved through fine-tuning with the TRL framework.
- This model is a fine-tuned version of google/gemma-3-270m-it on the microsoft/rStar-Coder dataset.
****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 bears no responsibility for any consequences arising from its use.