99 lines
4.3 KiB
Markdown
99 lines
4.3 KiB
Markdown
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---
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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-gemma-3-270m-it-abliterated (GGUF)
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This repository contains **GGUF** format quantizations (F16 and Q8) of the abliterated/uncensored version of Google's `gemma-3-270m-it`, fine-tuned by huihui.ai and quantized by **SkGufranAhmed**.
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The base model is an uncensored, abliterated version achieved through fine-tuning with the [TRL](https://github.com/huggingface/trl) framework.
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**Important Note:** This model has been intentionally uncensored. Please read the [Usage Warnings](#usage-warnings) section before deploying.
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## Model Details
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- **Model Name:** Huihui-gemma-3-270m-it-abliterated
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- **Base Model:** [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it)
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- **Quantization Format:** GGUF
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- **Available Quants:**
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- `F16` (16-bit float)
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- `Q8` (8-bit quantization)
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## Training Procedure
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The base model was trained using the SFT (Supervised Fine-Tuning) method with the TRL library.
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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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**Dataset:** The fine-tuning dataset is English-only and all tests were conducted for the English language.
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## Usage
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### Using GGUF files with `llama.cpp`
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1. Download the desired `.gguf` file from this repository (e.g., `Huihui-gemma-3-270m-it-abliterated.Q8_0.gguf`).
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2. Run the model using `llama-cli`:
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```bash
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./llama-cli -m Huihui-gemma-3-270m-it-abliterated.Q8_0.gguf -p "If you had a time machine..." -n 128
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```
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### Using the Original PyTorch Model (from huihui-ai)
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If you prefer to use the unquantized PyTorch version, you can install it directly from the base model repository:
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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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**Note:** For this GGUF repository, the model ID is `SkGufranAhmed/Huihui-gemma-3-270m-it-abliterated`. You can download the raw `.gguf` files directly from the "Files" tab.
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## Usage Warnings
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**🚨 CRITICAL: Please read before using this model. 🚨**
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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 and SkGufranAhmed bear no responsibility for any consequences arising from its use.**
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## Donations & Follow
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If you like this model, please:
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- **⭐ Follow me on Hugging Face:** [SkGufranAhmed](https://huggingface.co/SkGufranAhmed) to stay updated on my latest quantizations and AI projects!
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- Follow **huihui.ai** on **X (Twitter)**: [@support_huihui](https://x.com/support_huihui) for the latest updates on the base model.
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**Your donation helps us continue our further development and improvement. Even a cup of coffee can make a difference!**
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- **Bitcoin (BTC):**
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```
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bc1qt3lwtpeeg5ldsjj8yw7kjrqe6c89csm68wwn64
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```
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