so Qwen 9b is for like asking questions(and getting good responses) and Gemma 12b is for audio and video input aswell as roleplay,creative writing?
I'm enjoying the descent from clever structure to just... trusting backpropagation. The Bitter Lesson is being learned at every level. Make the training process better and faster because humans understand that part.
Are there already any uncesored models based on it? Asking for a friend...
most of them suck ass
Did you try any ? Because, I tried iglors and mradermacher, I got refusal to make a pipe bomb. Their answer are funny because they say to study academic engineering instead, lol. Still a refusal. I will try this one.
same, ig i will wait for a high quality uncensored model. (i.e, HauhauCS)
Is uncensoring oneself a LLM difficult ?
You might want to check out heretic or similar tools. I did not try it but there are a lot of heretic finetunes available ond HF.
I know it, seeing it in models titles.
i seen some good ones,though not as common.
LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.
As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
