---
base_model: google/gemma-3-270m-it
license: gemma
tags:
  - gemma3
  - gemma
  - google
  - generated_from_trainer
  - trl
  - sft
  - abliterated
  - uncensored
pipeline_tag: text-generation
library_name: transformers
---

# Huihui-gemma-3-270m-it-abliterated (GGUF)

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**.

The base model is an uncensored, abliterated version achieved through fine-tuning with the [TRL](https://github.com/huggingface/trl) framework.

**Important Note:** This model has been intentionally uncensored. Please read the [Usage Warnings](#usage-warnings) section before deploying.

## Model Details

- **Model Name:** Huihui-gemma-3-270m-it-abliterated
- **Base Model:** [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it)
- **Quantization Format:** GGUF
- **Available Quants:**
  - `F16` (16-bit float)
  - `Q8` (8-bit quantization)

## Training Procedure

The base model was trained using the SFT (Supervised Fine-Tuning) method with the TRL library.

- **TRL:** 0.21.0
- **Transformers:** 4.56.0.dev0
- **Pytorch:** 2.8.0+cu128
- **Datasets:** 3.6.0
- **Tokenizers:** 0.21.2

**Dataset:** The fine-tuning dataset is English-only and all tests were conducted for the English language.

## Usage

### Using GGUF files with `llama.cpp`

1.  Download the desired `.gguf` file from this repository (e.g., `Huihui-gemma-3-270m-it-abliterated.Q8_0.gguf`).
2.  Run the model using `llama-cli`:

```bash
./llama-cli -m Huihui-gemma-3-270m-it-abliterated.Q8_0.gguf -p "If you had a time machine..." -n 128
```

### Using the Original PyTorch Model (from huihui-ai)

If you prefer to use the unquantized PyTorch version, you can install it directly from the base model repository:

```python
from transformers import pipeline

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?"
generator = pipeline("text-generation", model="huihui-ai/Huihui-gemma-3-270m-it-abliterated", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

**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.

## Usage Warnings

**🚨 CRITICAL: Please read before using this model. 🚨**

- **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 and SkGufranAhmed bear no responsibility for any consequences arising from its use.**

## Donations & Follow

If you like this model, please:
- **⭐ Follow me on Hugging Face:** [SkGufranAhmed](https://huggingface.co/SkGufranAhmed) to stay updated on my latest quantizations and AI projects!
- Follow **huihui.ai** on **X (Twitter)**: [@support_huihui](https://x.com/support_huihui) for the latest updates on the base model.

**Your donation helps us continue our further development and improvement. Even a cup of coffee can make a difference!**

- **Bitcoin (BTC):**
  ```
  bc1qt3lwtpeeg5ldsjj8yw7kjrqe6c89csm68wwn64
  ```