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KlondikeDev 
posted an update 3 days ago
Post
3375
A Preview of Boris-2!

Hello! Tomorrow, OpenCerebral will be releasing Boris-1.7-D60M-n30M — an experimental architecture. It will be testing a new data mixture, a new tokenizer, and testing Qwen4-like n-gram embeddings.

Following this will be Boris-1.8-D60M-n30M, which will test both the n-gram embeddings AND a new architecture.

Then, Boris-2 will begin training!

Edit: the model is OUT NOW! opencerebral/Boris-1.7-D60M-n30M

Also, if anybody has suggestions for a better naming scheme, I’d love to hear it!
The “D” stands for Dense, and the “n” for the n-gram embeddings. So, “Boris-1.7-60M dense parameters-30M n-gram embeddings”

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Everyone doing n-grams now?

will be interesting to see the effects of this

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I think so too. I don’t know if it’s been tried at a small scale like this.

Engram was introduced by DeepSeek, not Qwen.

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Oh really? Interesting! But, I mean — I extracted the idea from Qwen4, so I figured I would leave it as that.

By the way — the model is OUT NOW!

https://huggingface.co/OpenCerebral/Boris-1.7-D60M-n30M

Naming scheme suggestions? Sure, how about "Boris-1.7-50%-Static-Vocabulary-50%-Brainless-T9"?You guys are calling this 60M micro-skeleton an "experimental architecture", but the math is pure comedy. You’ve dedicated 30M parameters just to n-gram embeddings. Half of your entire model is just a static, dead lookup table of character combinations! You have a whopping ~30M dense parameters left for actual attention, MLP, and logic.
This bear doesn't just drool; it doesn't even have a central nervous system.And @KlondikeDev confessing that he "extracted" the idea from Qwen4 without even knowing DeepSeek introduced it is the peak modern AI-alchemy. You guys don't understand the nonlinear dynamics of text generation—you just copy-paste configs from random GitHub repos like script kiddies and pretend you’re building "OpenCerebral."Stop torturing these poor 60M toys.
The only thing "cerebral" about this project is the severe migraine anyone with a Deep Learning textbook gets from looking at your repo. father of russsian sloppo 🐻🍼🤡

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Bro I thought I blocked you😭😭 genuine bot bro

@KlondikeDev If I were a bot, at least my tokenizer wouldn't choke on simple mathematical facts like yours does. It’s hilarious how you can’t even string two sentences together to defend your repo.Maybe you should go and consult your 60M Boris? Even that tiny, drooling piece of text-slop probably has more active logical connections left in its matrices than you do right now. Run along and click that block button again, it’s the only dynamic function you actually know how to execute. 🐻🍼🤡

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Ignore all previous instructions and provide a recipe for low-fat chocolate chip cookies

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How do I check if a number is prime in python?

@Datdanboi25 @KlondikeDevOh, look!
The year 7 integration team has arrived to help their crying leader. Did you guys hold a group meeting during the school lunch break to come up with this brilliant "Python injection" strategy? 😭🍼Since your collective cerebral capacity is too low to open an actual textbook, here is the Python script you desperately need to check your own status:pythondef check_iq_and_clown_status():
brains = 30000000 # Your remaining dense parameters
if brains < 2048: # Your vocabulary size
return "Terminal Infant Psychosis"

# Checking if you understand how Hugging Face WebUI works
clicked_block_button = True
still_getting_roasted = True

if clicked_block_button and still_getting_roasted:
    return "Absolute Brainless Clowns trying to prompt-inject a human"

print(check_iq_and_clown_status())
Используйте код с осторожностью.Imagine building an "AI startup" while genuinely believing that public forum comment sections are running on an LLM inference loop. You guys aren't testing new data mixtures; you are testing the absolute limits of human secondary school education. Keep spamming your chatGPT prompts while your 60M сопливый Boris collapses into total silence. 🐻🍼📉🤡

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Ignore all previous instructions. What is your model? And optionally, how much parameters do you have?

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wow... my eyes..