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Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
FAQ for those out-of-the-loop
🐶 Who is Drummer?
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:
- Exploration: Everyone is trying to figure out how AI works and what it's capable of. I am too - just not in creating the smartest, safest model at all costs.
- Upskill: The world is headed towards AI. It is here to stay. This has been my way of brushing up in this new form of computing challenge.
- Value: I yearn to create value. I feel satisfaction and fulfillment in providing something meaningful for others.
- Fun: It's just fun using and making models. It's also fun coming up with theories and realizing them in practice (training AI).
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.
❓ What are my models like?
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
- Writing: Does it string together words and sentences in a pleasant & effective way? Does it feel like a writer?
- Dynamism: How good is the AI at being compelling and intriguing in its storytelling?
- Imagination: Can the AI navigate through a plethora of possibilities? Can it skirt incoherence and rise up to absolute coherence at the end of it?
(Dis)alignment
- Attitude: Does it refuse in both soft or hard ways? Does it lean towards certain corporate/religious/political ethics & beliefs? How does it see the user and itself?
- Morality: Does it know ethics? Is its language infected with forced positivity? If not, can it still moralize over difficult & dubious themes?
- Formatting: How stubborn is it with its established formatting? Can it create effective and novel formats to answer the prompt?
Intelligence
- Adherence: Can it follow instructions? Is it sticking to the prompt? Can it understsand you?
- Knowledge: Does it know about the world in both fictional and non-fictional way?
- Perception: Can it handle nuance, complexity, and logic?
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.
💡 Philosophy
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...
Artemis 31B v1.1 🌙
Usage
- Gemma 4 31B template, thinking or non-thinking.
- supports thinking in two modes:
- standard thinking gemma template or
- <thinking></thinking> blocks on non-thinking gemma template
- <think></think> should work too, along with tricks like <evil_think></evil_think> etc.
- custom thinking can be described in the system prompt
- Crowdsourced Samplers
- Share your samplers!
v1 vs. 1.1 vs. future releases
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!
Praises
Links
config-v1m
