Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
ara
Instructions to use coder3101/gemma-4-E4B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coder3101/gemma-4-E4B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("coder3101/gemma-4-E4B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("coder3101/gemma-4-E4B-it-heretic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This is the first model under 16B I try that could under stand stack manipulation
#1
by Richter03 - opened
Simple IL code like this but every model I try could not understand it until your model (I try other Gemma4 heretic but also get wrong result)
.method static int subtract(int, int, int){ .maxstack 3 ldarg.2 ldarg.1 ldarg.0 sub sub ret }
And your model result is a correct way of thinking even if it's a bit confuse in conclusion.
Stack Manipulation:
- Original:
ldarg.2 ldarg.1 ldarg.0 sub sub ret- Load
arg[2], Loadarg[1], Loadarg[0]. (Stack:[arg2, arg1, arg0])
*sub: Pops two, pushes result (e.g.,arg1 - arg0). (Stack:[arg2, result])
*sub: Pops two, pushes result (e.g.,arg2 - result). (Stack:[final_result])
*ret: Returns.
* Conclusion: This code calculatesarg[2] - (arg[1] - arg[0])or perhaps(arg[2] - arg[1]) - arg[0], depending on howsubis implemented when the operands are loaded sequentially. Given the context of a simplesubtractmethod, it likely calculatesarg[2] - arg[1] - arg[0]orarg[2] - arg[0] - arg[1].