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Good night everyone, I hope everyone has a good night. I am the owner of this piece of art. If you like my work, let me know. Good night and good morning.🧡🤍💫⭐️🦊🍈🍈🎀💗💝💖💞💕🔞🌶️ #tailzkim# #mammal# #canid# #canine# #fox# #grey_fox# #mihoyo# #zenless_zone_zero# #art# #yiff#

Good evening to all, I hope that everyone will have a good evening, and to the owners of this work of art, if you want more content, then subscribe to my social networks, good night, good morning to all.🩶🤍💫⭐️🐺🍈🍈🍑🎀💗💖💝💞💕🔞🔥 #tailzkim# #hayoon# #yiff# #fluffy# #Art#

Good evening to all, I hope that everyone will have a good evening, and to the owners of this work of art, if you want more content, then subscribe to my social networks, good night, good morning to all.💜🤍💫⭐️🦇🍈🍈🎀💗💝💖💞💕🔞🌶️ #tailzkim# #pokemon# #bat_wings# #bat# #art# #yiff#

Good night everyone, I hope everyone has a good night. I am the owner of this piece of art. If you like my work, let me know. Good night and good morning.🩷🤍💫⭐️🐇🍈🍈🎀💗💝💖💞💕🔞🌶️ #tailzkim# #mihoyo# #zenless_zone_zero# #zhao# #art# #yiff#

Updates since then: * Deepseek v4 is out. There *is* a 2-bit quant that can run within 90 GB ( ), and it works, however it's only fast on Apple hardware (I've head ~35 tok/s). On AMD, it's ~7 tok/s. IMO actually taking the effort to properly support more than one hardware manufacturer is a great example of the difference between mere "decentralized AI" and genuine "CROPS AI". I hope we can become better at this. * also has alpha telegram support now. However, the path to adding your account is quite janky * looks promising as a way to run "dense" models (eg. Qwen 27B) more efficiently. It's janky, but on my 5090 laptop it seems to be ~2x more tok/s than llama.cpp * VoxTerm (local AI recording, no third-party servers) continues to be developed And there's a lot more projects coming on the horizon. One other thing that has been on my mind is that there's actually a lot of intersection between "CROPS ethereum access layer" and "CROPS AI". For example, we want a ZK way to make (paid) calls to remote LLMs. But if we have this, then it's just as useful for solving another problem: private RPC reads in Ethereum. Another example: application-specific finetuned LLMs. Leanstral ( ; I get ~38 tok/s on AMD) fits into < 70 GB, but can hold its own against 1T models on writing Lean code. Things like this are a huge boon for writing more secure code ( ). We should have models finetuned for Ethereum-related use cases as well.

rest easy sweet girl. i only wish you’d stayed just a little while longer and realised everything would be okay. you are and always will be loved. i hope you can finally feel some sense of peace now, wherever you are ❤️