There’s a new announcement every other day wrt models. How do y’all keep track of them all same know what’s decent? Good grief! And if it’s decent today, it’s shit in eight months! I tool hop as much as the next dev but this is a bit much.
Neutrino-1 8B
21–30 of 51 posts
Re: Neutrino-1 8B
#22Earlier quoted context omitted.
Independent testing of prismml suggest quite a capability drop off outside of their cherry picked benchmarks. I'll be curious to see what this model achieves though.
I really had high hopes for the larger Ternary Bonsai and it feels like there is scope to improve, but I get the sense (albeit a naïve, probably not fully informed sense) that improvement can perhaps only come by training directly into ternary.
Re: Neutrino-1 8B
#23Earlier quoted context omitted.
Independent testing of prismml suggest quite a capability drop off outside of their cherry picked benchmarks. I'll be curious to see what this model achieves though.
I really had high hopes for the larger Ternary Bonsai and it feels like there is scope to improve, but I get the sense (albeit a naïve, probably not fully informed sense) that improvement can perhaps only come by training directly into ternary.
Re: Neutrino-1 8B
#24AI slop site with AI slop research... Blog populated with incoherent PR material generated by Yet Another AI. Sigh...
Could use AI for both which seems hilariously appropriate.
Re: Neutrino-1 8B
#25Can’t say I’m a fan of containers for this. A big chunk of local LLM gains come (imo) from the open modular nature of llama.cpp and friends. Easy to modify. Easy to experiment. Containers are the proprietary binary blob in hardware world equivalent
Re: Neutrino-1 8B
#26Only problem was there is plenty of space on the device. PLENTY (not quite 750gb).
Re: Neutrino-1 8B
#27Re: Neutrino-1 8B
#28Earlier quoted context omitted.
Unfortunately Fermion Research appears to entirely AI generate all of their content here, even for the research section: https://www.fermionresearch.com/research/neutrino-8b/ "Neutrino-1 8B was trained natively in its shipping format. There is no full-precision product model that was rounded afterward: the ternary representation is the medium the weights learned in, and the training methods that hold this quality at…
I guess it's saying how many of the weights are -1, 0 or +1.
Re: Neutrino-1 8B
#29Re: Neutrino-1 8B
#30AI slop site with AI slop research... Blog populated with incoherent PR material generated by Yet Another AI. Sigh...
Can Dang implement a slop rating on submitted pages? Not a block but at least a % likelihood of AI slop content and that could also be tied with a BS rating as well. Could use AI for both which seems hilariously appropriate.