How to use from
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-E2B-it-The-DECKARD-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-E2B-it-The-DECKARD-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-E2B-it-The-DECKARD-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-E2B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking",
    max_seq_length=2048,
)
Quick Links

gemma-4-E2B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking

  • uncensored, then fine tuned.
  • in testing
IN HOUSE BENCHMARKS [by Nightmedia]:

         arc-c arc/e boolq hswag obkqa piqa  wino

gemma-4-E2B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
mxfp8    0.389,0.480,0.767,0.599,0.408,0.729,0.629

---

BASE UNTUNED MODEL:

gemma-4-E2B-it
bf16     0.389,0.465,0.762,0.486,0.372,0.707,0.641
q8-hi    0.392,0.462,0.762,0.487,0.376,0.706,0.636
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