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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Thanks, my knowledge on the topic of Local AI is still very barebones. I generally use my FW for coding assistance, troubleshooting Linux issues, automating stuff and doing some heavy text processing (fixing artifacts after OCRing old PDFs and formatting text). I have lots of spare RAM as I'm lucky enough to have the 128GB model I bought before the prices went crazy. I need to try this Qwen3.6 and Gemma as you recommended as it looks like they may fit my needs as well. The Coder I have has been running smoothly for a while and I didn't really have the opportunity to tinker with other options recently. If you have any tips for my use case I'm all ears!