Instructions to use DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Local Apps Settings
- Unsloth Studio
How to use DavidAU/gemma-4-31B-it-The-DECKARD-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-4-31B-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-4-31B-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-4-31B-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-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking", max_seq_length=2048, )
gemma-4-26B-A4B-it
Could you throw these tunes (and possibly the Opus finetune) at the 26B MoE model? Allegedly it has much higher performance on strix halo/spark systems than the 31B dense model. Fwiw, the 31B dense model is already outperforming Qwen 3.5.
Separately, and this may be a local optimization problem, but gemma-4 absolutely crawls once going over the 30k input token range in a way that other models like GPT-OSS /Qwen3.5 didn't. Haven't had a chance to test the vanilla gemma4, so this is more of an anecdotal "FYI" than a bug report.
Working on a Gemma 4 19B-A4B right now [fine tune] ; will be out later today providing it "pans out" okay.
26B / 21B - A4Bs are on the horizon.
RE: Crawls ; make sure your llamacpp / ai app is up to date ; as there have been major changes to address these issues in the past few days.