8脳3090s + 256GB RAM 路 EXL3 local AI Full-stack SaaS, weird infra, consulting, gaming, movies, thoughts

USA
Joined October 2022
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Replying to @kuhusingh6
馃槶馃槶馃槶
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Replying to @Forhanvv
How is concurrency and quality of answers on this vs something smaller but at q8?
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Replying to @net_termina
Hey could you run a test with the same unlock that got you those stats, but this time power limit it to 200W or less? Would be interesting to see how much power impacts the performance unlock
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Qwen 27b BF16 or even q8 seems to perform better than these 100-200B models (Qwen flash, deepseek flash, GLM 5.3 flash) running at low quants like 2 bpw or q2 On currency is way better on it on my machine as well
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tried the gpu unlock. smaller bump than everyone else is posting, which makes sense when every card is capped at 160w until the house wiring gets upgraded
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Replying to @BoringBiz_
馃槀馃槀馃槀
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Whatttttttttttttt
We鈥檙e glowing with excitement over the new MacBook Pro. You鈥檝e gotta touch it to believe it.
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Replying to @DETONATEDcom
nothing says new season like a map from 2019
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Replying to @akshay_pachaar
props for giving ollama its mtp build too. a 2.7x win over a handicapped baseline wouldn't mean much
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I can鈥檛 wait till I鈥檓 done with all these tests on my machine so I can actually use it haha
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PRO TOP - Opus 5.5 as orchestrator and planner - DSv4.1 Flash 1017 as executioner and implementer Unbeaten combo
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Replying to @IAmNickDodson
agree, and post time to first token at that length too. decode at 128k can look fine while you sit waiting on prefill
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Reran this with some other stats + 3JS game at the end Model at the top
one prompt, one file, a full asteroids game. running locally on my 8x 3090 rig qwen 3.8 flash-next on exllamav3 (6.05bpw + MTP draft) 124 tok/s 0.44s to first token ~1,270W while generating (8 cards, each capped at 160W) @Alibaba_Qwen @turboderp_
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Yes I have to cap it because of electric wiring
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I have ran some strata tests will post later. Also did Maya tests. Multiple agents test, etc
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Models I am excited about - GLM 5.5 Flash - Qwen 4 27B
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Hmm for me it's when tasks a long for example with /goal. A lot of tool calling can happen and I think a better quant will be able to do the job in significantly less tool calls than a smaller quant. I also stress test quants against tools i use often to see to decide
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Please compare quants you鈥檙e running vs seeing when comparing speeds
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Does it work with strata or exlama?
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