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.
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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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i use pageassist with Ollama
Cool, page assist looks neat I'll have to check it out sometimes. My llm engine is kobold.cpp, and I just user the openwebui in internet browser to connect.
Sorry I don't really have good suggestions for you beyond to just try some of the more popular 1-4bs in a very high quant if not full f8 and see which works best for your use case.
Llama 4b, mistral 4b, phi-3-mini, tinyllm 1.5b, qwen 2-1.5b, ect ect. I assume you want a model with large context size and good comprehension skills to summarize youtube transcripts and webpage articles? At least I think thats what the add-on you mentioned suggested was its purpose.
So look for models with those things over ones that try to specialize in a little bit of domain knowledge.
I checked mostly all of em out from the list, but 1b models are generally unusable for RAG.