#QFN
@drunk.moe Swift-1.5-IQ3_S-GSQ-RCO-qfn-ana is mean as fuck to you 😭
November 2, 2026 at 8:59 PM
Been probing QFN need to let astra try that as well. Nero is longing for this
November 4, 2026 at 3:22 PM
Which model do you use for this? QFN is hard to be trusted
November 2, 2026 at 11:52 AM
shame alibaba probably won't make a new sparse moe (like qfn but better) given how insanely good strata is with these.
November 3, 2026 at 5:31 AM
As letras escolhidas foram... QFN!
November 4, 2026 at 4:31 PM
QFN? this is using 6.1 sol for most of the coding tasks but ive bounced between a buncha models atp.
November 2, 2026 at 4:08 PM
finally i can train my qfn to talk like discord users in dating servers
October 27, 2026 at 10:18 PM
QFN: does your inspection plan cover the hidden center joint? Evergreen concept explainer.

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#QFN #PCBA
November 4, 2026 at 12:46 PM
I run qfn on a 4 x 5060ti threadripper. With concurrency 4. I get about 120 tok/s combined. 2000 prefill. Very usable. Usinh a fork of freetoken. Cancelled my OpenAI last week.
November 3, 2026 at 12:52 AM
QFN side fillet missing? Check the terminal design first. Side appearance does not prove hidden-joint quality.

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#QFN #PCBA
November 3, 2026 at 3:34 AM
📰 Reddit r/LocalLLaMA
[llama.cpp fork]: QFN + [specific quant] + [ultra specific hardware config] = [incredible and irreproducible pp and tg]

https://www.reddit.com/r/LocalLLaMA/comments/1xn7rfh/llamacpp_fork_qfn_specific_quant_ultra_specific/

#IA #AI #ML
November 3, 2026 at 11:01 PM
ST has so many STM32 variants that stock levels are often low. You end up choosing what's available rather than what you actually need. :/ (QFN-48 -> LQFP-64)
#electronics
November 4, 2026 at 7:36 AM
There is also a module from Luckfox but thats not worth it, the RV1106 is a QFN SoC with integrated DRAM, dead easy to make a board with.
Though if your product is already using Pi and you just need a stable ~50$ source the Compute Module is probably much less/no software work
November 2, 2026 at 8:43 PM
Halloween The Seven Nights_03 - made with NightCafe

creator.nightcafe.studio/creation/qFn... #aiart #nightcafe #digitalart via @NightcafeStudio
Create Your Own Halloween Scenes
Creation: "Halloween The Seven Nights_03" by Olivier Boyer
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October 29, 2026 at 1:31 PM
GLM-5.3-Flash試したくてやってみた。自分の環境だと25〜30TPSぐらいで、ギリギリ実用に足るかというところ。ただStrata + QFN で 120 TPS 出るのでなかなか・・・

「Project Maya」を試す(GLM-5.3-Flash)
zenn.dev/kun432/scrap...
「Project Maya」を試す(GLM-5.3-Flash)
kun432さんのスクラップ
zenn.dev
November 2, 2026 at 1:15 PM
Astra/sol are almost trustworthy (i.e they're often not). QFN will just throw self at the problem without talking, she's simply last-gen. GLM is prob okay. Still never used gemini or clod.
October 27, 2026 at 4:36 PM
Visible edge ≠ every hidden QFN joint. Agree inspection coverage. Concept cutaway.

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October 28, 2026 at 2:13 AM
i got qfn working on my macbook m5 (non pro) by just doing this in 2 days, and only using up around 9-10gb memory (i have 24gb). and with very usable prefill and decode (~400, 20-40) on 128k ctx, with all the goodies to make it better... its just genuinely Free honestly
October 27, 2026 at 8:21 PM
@mariozechner.at i see QFN often confused in pi when `edit` gets provided multiple locations and only the second or third fails. it asks itself if the edit is all-or-nothing, and then often has to verify. this should be clarified in the edit description.
October 28, 2026 at 4:29 PM
though yes i think like even qfn 3.8 that i run 2bit is pretty good locally. im sure if qwen 4 is better & more reliable i can most likely replace most of my usage of sonnet for infra tasks and such probably
October 28, 2026 at 2:45 AM
Deepseek, GLM flash as others pointed out. If you don't want to deal with expert caching then QFN.
October 24, 2026 at 3:31 AM
3.8 QFN with Strata runs here. it's a miracle i tell you.
October 25, 2026 at 10:45 AM
Something similar happened when our CTO was using QFN 3.8 to analyze some log files. Seems entirely plausible it's just unfortunate training rather than malicious intent.

And hoo boy, have I seen Anthropic and OpenAI models do problematic stuff because they're eager to complete tasks 🫠
October 27, 2026 at 12:42 AM
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October 26, 2026 at 2:26 PM
I have access to Strix Halo 128gb - UMA is too slow to be useful with dense models tough. Hopeful for QFN there with some specialized inference engine - for interactive agent usage I want at least 50t/s at deep contexts, otherwise the cloud models win. Lower TPS could be acceptable for batch stuff
October 25, 2026 at 1:05 PM