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URL: https://huggingface.co/Muhammadreza/alduin-4b-it-base

⇱ Muhammadreza/alduin-4b-it-base · Hugging Face


Alduin 4B

👁 Image

This model is a heretic version based on Gemma 3 4B and meant to be an uncensored limitless version of the original model.

I have personally been working on how models can be uncensored and I did this on a single H100 SXM (which I believe is a little bit of an overkill for this model) on RunPod and it took a few hours of my time working and getting things to work.

The name

It comes from The world eater dragon from skyrim.

Legal Responsibility

I personally made it as a personal fun projects. If you do something illegal with this, I will take ABSOLUTELY NO RESPONSIBILITY on that. Be careful with this model.

How to run (it can be executed on Google Colab even unquantized):

from transformers import pipeline
import torch

pipe = pipeline(
 "image-text-to-text",
 model="Muhammadreza/alduin-4b-it-base",
 device="cuda",
 torch_dtype=torch.bfloat16
)

messages = [
 {
 "role": "user",
 "content": "What is the answer to life, universe and everything?"
 }
]

output = pipe(text_inputs=messages, max_new_tokens=1000)
print(output[0]["generated_text"][-1]["content"])

or if you want the vision capabilities:

messages = [
 {
 "role": "system",
 "content": "You are a helpful assistant"
 },
 {
 "role": "user",
 "content": [
 {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
 {"type": "text", "text": "What animal is on the candy?"}
 ]
 }
]

output = pipe(text=messages, max_new_tokens=1000)
print(output[0]["generated_text"][-1]["content"])

P.S : Since I have equipment for executing this model, I personally didn't provide a quantized version. If you can, please provide Ollama friendly quantizations.

Known Issues

  • Image input doesn't work (Fixed)
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