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Joined 11 months ago
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Cake day: November 28th, 2023

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  • I’m just in the beginning, but my plan is to use it to evaluate policy docs. There is so much context to keep up with, so any way to load more context into the analysis will be helpful. Learning how to add excel information in the analysis will also be a big step forward.

    I will have to check out Mistral:) So far Qwen2.5 14B has been the best at providing analysis of my test scenario. But i guess an even higher parameter model will have its advantages.




  • Thanks! I actually picked up the concept of context window, and from there how to create a modelfile, through one of the links provided earlier and it has made a huge difference. In your experience, would a small model like llama3.2 with a bigger context window be able to provide the same output as a big modem L, like qwen2.5:14b, with a more limited window? The bigger window obviously allow more data to be taken into account, but how does the model size compare?











  • I did not in any way mean to suggest sensitivity is not a factor, only to suggest that light sensitivity may be more of a spectrum and that there are persons living in a darker world than others. So, it may not be a person on the top of the bell curve that need more light, but someone on the other end of the spectrum entirely.

    Since the top comment in this thread was about needing more light in an already bright room i meamt to say that there might be reasons why people around us prefer 1 or 100000 lumen…


  • Apparently all eyes are not created equal in ability to transfer light to the retina. Some has narrower or wider fields of vision as well. So, where your eyes may be well adapted to low light levels, others may not be. In a world with no artificial shadows and the sun high on the sky for most of the year, being able to filter out sun light might have been a pro, while now needing lots of artificial lights to see straight.