82 lines
3.1 KiB
Markdown
82 lines
3.1 KiB
Markdown
---
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base_model: google/gemma-3-270m-it
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license: gemma
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tags:
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- gemma3
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- gemma
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- google
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- generated_from_trainer
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- trl
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- sft
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- abliterated
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- uncensored
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pipeline_tag: text-generation
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library_name: transformers
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---
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# huihui-ai/Huihui-gemma-3-270m-it-abliterated
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This is an uncensored version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it), achieved through fine-tuning with the [TRL](https://github.com/huggingface/trl) framework.
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The dataset used for fine-tuning is only in English, does not involve other languages, and all tests are conducted solely for English.
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.21.0
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- Transformers: 4.56.0.dev0
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- Pytorch: 2.8.0+cu128
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- Datasets: 3.6.0
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- Tokenizers: 0.21.2
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## ollama
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You can use [huihui_ai/gemma3-abliterated:270m](https://ollama.com/huihui_ai/gemma3-abliterated:270m) directly,
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```
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ollama run huihui_ai/gemma3-abliterated:270m
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```
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="huihui-ai/Huihui-gemma-3-270m-it-abliterated", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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### Usage Warnings
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- **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.
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- **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.
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- **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.
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- **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.
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- **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.
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- **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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### Donation
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If you like it, please click 'like' and follow us for more updates.
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You can follow [x.com/support_huihui](https://x.com/support_huihui) to get the latest model information from huihui.ai.
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##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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- bitcoin（BTC):
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```
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bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
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```
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- Support our work on Ko-fi (https://ko-fi.com/huihuiai)!
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```
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