Median Total Time
28.90s
Median TTFT
6.56s
Median Prefill TPS
1058.80
Median Gen TPS
6.25
Context Size
262144
Quantization
r64 on INT8
Engine
vllm
Creation Method
Finetune
Model Type
Gemma31B
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
9/26/2026
base_model:
Hi! I'm Drummer. I'm a Software Engineer with experience in JavaScript, Golang, Python, and generally engineering the crap out of things.
Why I'm in the AI space:
I started my tuning venture back in mid-2024 when I wanted to improve its literary capabilities. I've come a long way since then and I have branched out and specialized. Foundational models today are optimized for non-creative uses, and I believe there is a place for AI in creativity and entertainment.
I am here to take the road less traveled by.
Bottomline: My models are usually geared towards creativity, usability, and entertainment!
While intelligence, correctness, and problem solving are not my priority, they are still one of many qualities I want in my models.
The primary goal is to enhance the experience for users looking to use models for creative uses, and other use cases which require no alignment.
In an effort to make it clear to myself and to others what I'm aiming for, I've identified certain qualities that my users often want:
Creativity
(Dis)alignment
Intelligence
If it doesn't excel in one of these qualities, or if it's overall mediocre for its size, then I would most likely reiterate until I get something right.
A person is defined by the language they use. Not whether they speak in English or German, but in how they perceive reality.
Just like how we associate a serial killer as a mind that can't map 'murder' to 'evil', an innocent person is a mind that simply can't imagine 'murder'. They get confused when forced to deal with such subjects.
AI's use of language speaks volumes about their 'perception' of reality. If a language model has been skewed and limited to a positive perception, then it's ability to imagine is also limited.
Finetuning is an opportunity to adjust and broaden the language. Corporations use it to achieve safety and compliance. I'm here to
Drummer proudly presents...

The v1 release was overdue. It was a good early attempt that pulled out the best writing potential in Gemma 4. However, v1 might require some handholding, token banning, etc., for stability and to avoid dash spiraling. With that said, many fans still vouched for [what is now] v1.
The v1.1 release addresses the issues of v1 while retaining as much of the charm that v1 had.
What's next for 31B? More iterations, of course! More data, more sophisticated training configurations, and even an upscale!
config-v1m