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This is incredible. The prompt was "What happened to this cat's back legs?" A human could easily confuse this. (he just likes to sit like that)
the most important grant we can get is not a bunch of H100s, it's actually getting an x dot com enterprise account to get that blue tick with logo
wtf. it can read emotions? "piercing blue eyes that seem to bore into the soul" llama-3-vision-alpha @qtnx_
llama-3-vision-alpha lowkey goated but next version has to recognize Lain
llama-3-vision-alpha lowkey goated but next version has to recognize Lain
ok done with posting until weekend or new qresearch drop back to detox
llama-3-vision-alpha running on @replicate I got it up before the HF version was pushed out 😅 Try it out!👇
qresearch did not have a meltdown and i'm doing fine, i am just taking a week long break and deactivated to break the addiction cya soon
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This is incredible. The prompt was "What happened to this cat's back legs?" A human could easily confuse this. (he just likes to sit like that)
This was a trick test. It didn't confuse it with choking. I'd never hurt my cats :) (llama-3-vision-alpha)
Alright, llama-3-vision-alpha failed this one. Meme fits the situation :)
@qtnx_ literally, just stop bullshiting everyone and own up to what it is
only missing piece of puzzle is the os build fingerprint, which is identical on every r1 device. anyone with access to r1 could dump it and share with public thank u @schlizzawg for these screenshots and for fucking around with the rabbit app with me :D
the "bootleg apk" is the actual launcher app extracted from r1. it worked before because you carelessly forgot to verify App-Version and OS-Version headers used for websocket communication, and only now acknowledged it. THIS is why it doesn't work anymore.
with all the respect - while most of the non iOS consumer devices runs on modified AOSP as client, i don't think you understand that client apk can be duplicated and bootlegged while all the actual service lives on the cloud? and why that bootleg apk is not working? try now.
@qtnx_ Alright then I guess I should run more tests :)
so 38.04% and 32.94%, respectively for non instruct and instruct modules on full realworldqa
how was llama-3-vision trained? thanks to the very similar embedding spaces between base LLMs and their instruction-tuned counterparts, prompt understanding abilities are maintained while feeding one model's embeddings to the other. @yeswondwerr and i decided to test this by…
Alright, my last test of llama-3-vision-alpha @_Mira___Mira_ "mischievous grin"
It can differentiate the animal from its eye. I love this model.
wtf. it can read emotions? "piercing blue eyes that seem to bore into the soul" llama-3-vision-alpha @qtnx_
there's a group of people i've become friends with on the internet in the past 4 years that I can only describe as the Shadow Wizard Money Gang (in terms of their arcane skills and the amount of money they make)
btw this is llama-3-vision-alpha if anyone is wondering. huggingface.co/qresearch/llam…
@qtnx_ @huggingface It works, but I think my gpu is so power hungry my lights are flickering, but that's likely just bad led light bulbs. How do I respond and tell the model it did a good job?? I want to headpat it.
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