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TheDrummer/Skyfall-31B-v4.1
Skyfall-31B-v4.1 is a machine learning model from TheDrummer. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
<details <summary🐶 Who is Drummer?</summary
Downloads · 30 days
23
1% of all-time downloads
All-time downloads
1.8K
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558K
62.7 GB on disk
Likes
25
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.safetensors62.7 GB · 100%
From the Hugging Face model README
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.
</details> <details> <summary>❓ What are my models like?</summary>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.
</details> <details> <summary>💡 Philosophy</summary>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
</details><audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/FNWdi0WlH-Xd3fjkGVPpp.mpga"></audio>
Drummer proudly presents...

V4r is really amazing. Even at >16000 tokens on q4, I can introduce new characters and twists and it goes along just fine. Super complex characters with many conflicting emotions and thoughts. My new fave, and I haven't even tried thinking mode yet.
Surprisingly super coherent logically at 16k+ context. At least as a writing assistant. Can see this one be a daily driver on budget. Even without thinking.
It's kinda fantastic. 😍
Amazing model, the best of this series and generally the best that I can run on my hardware. It also works well with Vector Storage in SillyTavern - it brings up already known information more often.
Ran what I like to call the gauntlet. 7 characters with ~800 tkn ctx each (on av, some art more). AI had to balance switching users mind set (each character is linked to dif part of user. using collective consciousness as the logic binder) Char must retain their traits on top of adapting to new information. Three had a different interpretation, but all seven worked together. my poor computer cant handle beyond 16k in it though, far too long PP time as its timing out. Logic was sound, prose was reflective of each character personality (although there was a slight fact mixup that another char ended up ref. had to clean that out). Cohesive story throughout.
Like this one so far. I like how the reasoning is in character too. Go to 32k context without many repeats. I like it. 4-5 chars are not problem either.
config-v4r