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nibor1896/Crow

#AI coding assistant #Local LLM

A 284-billion-parameter coding model, at a 200k context. One graphics card. 1.28 GB of system RAM. Frontier mixture-of-experts inference, with the experts streamed off the SSD. No cluster. No 200 GB host. No cloud.

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CROW IS NOW AVAILABLE ON LINUX (OMARCHY) 🐦‍⬛ v2.2.1 - Qwen3.8-Flash-Next (vision) - llama.cpp - ~41.6 tok/s decode - 200k ctx - Context rollover - Persisten memory (session as well as global) -…

@crowqnt · x.com

Crow is getting ready for linux. Can’t wait to create the first Plugin for @OmarchyLinux for crow :D I already have some ideas.

@crowqnt · x.com

I am running crow for the first time with its own engine and quant. When it passes my last quality check, I will share the results. Engine is still a bit buggy and prefill is still behind llama.cpp…

@crowqnt · x.com

There will soon be more updates on crow 🐦‍⬛- I promise, the engine taking a lot of freaking time - will be worth the wait. First Model to RollOut will be Qwen3.8-Flash-Next. Own Quant. #Qwen…

@crowqnt · x.com

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