Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
abliterated
uncensored
finetune
unsloth
Instructions to use DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking") model = AutoModelForMultimodalLM.from_pretrained("DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="DavidAU/gemma-4-E4B-it-GLM-4.7-Flash-HERETIC-UNCENSORED-Thinking", max_seq_length=2048, )