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cometocoruna reviews and mentions
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Ollama Python and JavaScript Libraries
Not really. You can use small models for task like text classification etc (traditional nlp) and those run in pretty much anything. We're talking about BERT-like models like distillbert for example.
Now, models that have "reasoning" as an emergent property... I haven't seen anthing under 3B that's capable of making anything useful. The smaller I've seen is litellama and while it's not 100% useless, it's really just an experiment.
Also, everything requires new and/or expensive hardware. For GPU you really are about 1k€ at minumum for something decent for running models. CPU inference is way slower and forget about anythin that has no AVX and preferably AVX2.
I try models on my old thinkpad x260 with 8Gb ram, which is perfectly capable for developing stuff and those small task oriented I've told you about, but even though I've tried everything under the sun, with quantization etc, it's safe to say you can only run decent LLMs with a decent inference speed with expensive hardware now.
Now, if you want task like, language detection, classifying text into categories, etc, very basic Question Answering, then go on HugginFace and try youself, you'll be capable of running most models on modest hardware.
In fact, I have a website (https://github.com/iagovar/cometocoruna/tree/main) where I'm using a small flask server in my data pipeline to extract event information from text blobs I get scraping sites.
Experts in the field say that might change (somewhat) with mamba models, but I can't really say more.
I've been playing with the idea of dumping some money. But I'm 36, unemployed and just got into coding about 1.5 years ago, so until I secure some income I don't want to hit my saving hard, this is not the US where I can land a job easy (Junior looking for job, just in case someone here needs one).
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The primary programming language of cometocoruna is JavaScript.
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