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Wilson Lora 🇩🇴
8,268 posts
Wilson Lora 🇩🇴 profile banner
@b0dre

Wilson Lora 🇩🇴

@b0dre
root@mylife:~# cat bio.txt | sha256sum c5ac2b495b54fae35712a3da181758b0650a57b84403c38f413d943fdf465a20 - Local AI
/bin/zsh
wlb.do
Joined June 2009
2,455 Following
277 Followers
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  • Pinned
    @b0dre
    Wilson Lora 🇩🇴
    @b0dre
    Mar 24, 2025
    Debugging is like being the detective in a crime movie where you're also the murderer at the same time. 😂
  • @b0dre
    Wilson Lora 🇩🇴
    @b0dre
    2h
    Just another amazing thing from Omarchy Team. Thanks!
    @dhh
    DHH
    37signals
    @dhh
    4h
    Gliff will give you access to all your remote Omarchy boxes from a single app with tabs per server that streams over SSH using GPU acceleration. Incredibly useful! Will be part of RS 4.5 🤘 github.com/omacom/gliff
    00:00
  • @b0dre
    Wilson Lora 🇩🇴
    @b0dre
    Oct 8
    Tengo dudas, va muchísimo más rápido por DDR5 que por NVMe, aunque sea Gen5 en RAID 0. La latencia de la RAM está en nanosegundos; la del SSD, en microsegundos, y eso se nota en tokens/s.
    @0xSero
    0xSero
    @0xSero
    Oct 8
    If you’re someone who has 1 or more expensive GPUs and you want to run bigger models without dropping 5 digits to get more cards 1. Buy M2 > PCIe gen 5 raid0 adapter 2. Buy 4x 1TB Samsung gen 5 NVMe You can get 60 GB/s on these fast enough to move data in and out of GPUs
    00:00
  • @b0dre
    Wilson Lora 🇩🇴
    @b0dre
    Oct 7
    Local IA is lit ¡Gran trabajo, Palmer! Los arreglos en el serve para que el agentic no se caiga (sobre todo tool calls y long-horizon) se notan claro en los números, y lograr eso sin tocar los weights es muy sólido. ¿Cuánto sacaría aproximadamente en tokens/s en una RTX 3060 de
    @CaryPalmerr
    Palmer
    @CaryPalmerr
    Oct 6
    Bonsai 2 27b PTQ1_0 from @PrismML is now smarter than ever! 12gb GPU, 100tok/s, and agentic workflow failures fixed! After a week of experiments, I managed to find the two places that agentic work broke down in the model weights. Instead of adjusting the weights directly, I
    1
  • @b0dre
    Wilson Lora 🇩🇴
    @b0dre
    Oct 7
    Lo más gracioso es qué cualquier día random colocas todo y funciona a la primera.
    @Hikari_07_jp
    Hikari∣LocalLLM⚡
    @Hikari_07_jp
    Oct 6
    これもう諦めます。 ほぼ使わない16GBのメモリのためにCPUまた外すのがリスキーすぎるので。 VRAM496GB,RAM112GBの推論のことしか考えてないPCの完成です。
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