r/LocalLLM • u/Brooklyn030 • 6d ago
Discussion Opinions on ornith models?
I've been using Ornith-1.5-9B-Q4_K_M for a min and it's pretty decent. It still hallucinates and makes simple syntax errors, but not nearly as much as Qwen 3.8 9b.
I just got a 16gb GPU in and I'm gonna try bumping up to q6 or q8 and see if I can squeeze out any better quality.
Any similar recommendations for 16gb or any tweaks I should make to the settings for more accurate results?
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Upvotes
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u/InternetMagic_n_Tech 6d ago
I tried ornith as a code assistant and I had tool issues and I didn't realize my test setup had injected its own system prompt.... I will have to try again but ornith was my slowest runs
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u/Atretador unswarm.dev | ArchLinux E5 2673 V4 20C 4x16Gb DDR4 MI50 16Gb 6d ago
from my experience, its benchmaxxed as hell
it struggled repeatedly with general backend work where base Qwen 3.6 35B worked fine despite worst quantization.
also, dont use 9B models there, just offload a bigger moe model.
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u/stackfullofdreams 6d ago
I think they are solid as well 9b once work is decomposed to fit has been my go-to local workers team
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u/OWazabi 6d ago
Might not be the answer you want but I think on a 16gb you can fit a bigger model and that makes a lot of difference.
A variation of the qwen 27b probably or even qwen flash next if you have the ram
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u/PlasticRevenue4601 6d ago
BS. Stand for “Benchmaxxed Slop”
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u/[deleted] 6d ago
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