Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

That´s is incorrect, I demonstrated how all that is not true. The models were 100% distill and very powerful. Hard facts

https://vimeo.com/1125658282

https://vimeo.com/1125657672

https://www.reddit.com/r/LocalLLaMA/comments/1o1m9nz/the_mos...





You're just wrong.

Vibes are not a meaningful comparison.

You can't compare different quantizations(Q4_K_M & Q4_K_XL) and also use a temp of 0.7 and use that for any meaningful comparison.

All difference you notice could be either due to temp randomness or quantization differences even if the original weights are exactly the same.

Also these were likely sourced differently so the quantizers could've used different quantization importance matrizes or process.

The weights are the same, the weights are all that matters.


The facts are not very hard...

What do you mean the facts are not very hard. If you understand just a bit of LLM you will clearly identify a Distill LLM. All the point is to delete the user because he had created some incredible models beating The best proprietary models out there. The pretext was that he was a fraud and his models were not a distill but a copy. Therefor I show clearly that he was framed and his work deserves credit. I still have the models and scripts for all the procedure. I am not interested to argue further, but it is clearly visible to me. The post in HN also is well voted and most importantly commented, meaning that users have a lot to say about it.

Stop gaslighting yourself via llms. You are pretty close to a delusion. I looked at the history of those supposed super models. It's literally all made up vibe llm bullshit and the people that told you so on reddit and huggingface took the time to actual proof it to you. You might be the first example of AI psychosis that I've seen in the wild. Wild.

[flagged]


Well now I am sure of it. Rip your brain dude. :(

> Sorry, this post has been removed by the moderators of r/LocalLLaMA.



Consider applying for YC's Winter 2026 batch! Applications are open till Nov 10

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: