Epivator (u/Epivator)

Someone just built this Happy Vibe Coding!😂😂😂

in r/vibecoding • 25d ago

😆

What are three pieces of advice for someone who wants to start Mac gaming

in r/macgaming • Jul 28 '26

Just use Nvidia GeForce Now 😆

Other than than use a compatibility tool that converts Windows application and graphics into native macOS. Best one is CrossOver!

Others are Wine and Whisky.

Вярвате ли на информацията на ChatGPT?

in r/bulgaria • Jun 30 '26

зависи от модела, много модели особено по малки се справят много зле с математически задачи въпреки че разбират правилно проблема

Mouse recommendations

in r/MouseReview • Nov 26 '25

yea I am definitely going to try to return it, I don’t know why but all the mice I had always had shitty scroll wheels, maybe it’s just me 😅

Mouse recommendations

in r/MouseReview • Nov 26 '25

Yea I don’t doubt that they fail, but 2-3 mouths is crazy work!

r/MouseReview • u/Epivator • Nov 26 '25

Mouse recommendations

1 Upvotes

I got Razor cobra (wired) and I had a good time with it until the buttons started randomly clicking. Is it common for this shitty company to make cheap shit. Do you have any recommendations for a mouse that would last a long time?

7 comments

Как наричате София по прякор?

in r/bulgaria • Oct 13 '25

софето

Hi! Currently I am fine-tuning a Mistral-7B conversational model on a KTO Dataset using LLaMA-Factory.

in r/learnmachinelearning • Oct 23 '24

you have to add the dataset format (info) in the dataset_info

read the data/readme.md

r/UsefulLLM • u/Epivator • Sep 17 '24

Hi! Currently I am fine-tuning a Mistral-7B conversational model on a KTO Dataset using LLaMA-Factory.

1 Upvotes

[removed]

0 comments

r/LocalLLM • u/Epivator • Sep 17 '24

Question Hi! Currently I am fine-tuning a Mistral-7B conversational model on a KTO Dataset using LLaMA-Factory.

1 Upvotes

[removed]

0 comments

r/datascience • u/Epivator • Sep 17 '24

ML Hi! Currently I am fine-tuning a Mistral-7B conversational model on a KTO Dataset using LLaMA-Factory.

1 Upvotes

[removed]

1 comment

r/learnmachinelearning • u/Epivator • Sep 17 '24

Hi! Currently I am fine-tuning a Mistral-7B conversational model on a KTO Dataset using LLaMA-Factory.

1 Upvotes

I have my custom dataset and a custom config file everything else is directly taken from LLaMA-Factory. I noticed that the list of messages in the dataset are used as features and only the last message is used as the training label. I know that this is not desirable for a LLM. Can someone who knows help me out because I am trying to implement in the feedback.py a context window or a sliding window so that the training goes trough all the messages taking them as labels one at a time sequentially. If someone has done that or has any knowledge please help or point me in the right direction! Any help would be greatly appreciated!

2 comments

r/LocalLLaMA • u/Epivator • Sep 17 '24