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.
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How do use ooba with rocm I looked at the python file where you can install amd and it will just say "amd not supported" and exit. I guess it just doesn't update the webui.py when I update ooba? I somewhere heard that llama.cpp with CLBlast wouldn't work with ooba, or am I wrong? Also is konoldcpp worth a shot? I hear some success with it
I can recommend kobold, it's a lot simpler to set up than ooba and usually runs faster too.
I will try that once in home! Ty for the suggestions can I use kobold also in sillytavern? iirc there was an option for koboldai or something is that koboldcpp or what does that option do?
EDIT: I got it working and its wonderful thank you for suggesting me this :) I had some difficulties setting it up especially with opencl-mesa since I had to install opencl-amd and then finind out the device ID and so on but once it was working its great!