Remixie

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Remixie

Remixie

@Remixie

Dev for @Kurosunco, @GLSSWRKSGG, @tekkusai All my opinions here are my own.

Ohio, USA Katılım Mayıs 2011
172 Takip Edilen212 Takipçiler
Remixie
Remixie@Remixie·
@Bushwina iq3_xxs is too low quality of a quant. tune your params to run q4_k_m
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CMD@Bushwina·
Everyone is boasting about their qwen 3.6-27b mpt success , but running small quant at low context what's the point? I tried to run hermes agent on a single 3090 iq3_xxs to fit the min 64000 context. Not worth it. #rtx3090 #locallma #hermesagent
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Remixie
Remixie@Remixie·
64k context length
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Remixie
Remixie@Remixie·
Qwopus3.6-35B-A3B-v1-Q5_K_M.gguf LM Studio 32 GB of DDR5 + the 32 GB VRAM of a 3090+3070 But it flies at around 50-70t/s with a normal level of tool use Is it smart? Not as much as 3.6 27B from my initial testing in opencode but boy is it faster
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Remixie
Remixie@Remixie·
I could technically get more t/s if I used vanilla llama.cpp but I’m tired of searching for flags that actually exist
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Remixie
Remixie@Remixie·
@outsource_ You don’t need to do all this. Just use the nvfp4 version of 27b
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Eric ⚡️ Building...
Eric ⚡️ Building...@outsource_·
Benchmarking Qwen3.6-27B on a 4090👇🏻 Found the clean recipe: mainline llama.cpp + Qwen3.5-4B same-vocab draft → 43 tps mean / 67 peak, 6/6 quality pass at 32K context. Also found that the popular "150 tps" cross-vocab spec-dec recipes silently corrupt JSON output. Per-category bench tells the truth. Configs, raw run logs, dead ends (DFlash OOM, TQ3_4S, vLLM cudagraph), and the bench harness: Next: training a same-vocab Qwen3.6-Drafter-0.6B for 100+ tps clean. GitHub with all runs and data 👇🏻 github.com/outsourc-e/qwe…
Eric ⚡️ Building... tweet media
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Remixie
Remixie@Remixie·
@GiaaOW I’m sorry for whatever is happening
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PLSR Giaa
PLSR Giaa@GiaaOW·
dude. fuck cancer, actually.
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Remixie
Remixie@Remixie·
@frank_vega_cl I’m renting a windows vm with these specs. It’s nice to have the freedom to run whatever we want for cheap nowadays.
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Frank vega
Frank vega@frank_vega_cl·
@Remixie if I could only get a 5090 in banana country
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Remixie
Remixie@Remixie·
Guys. Forget everything you’ve heard. Get Qwen 3.6 27B NVFP4 running on llama.cpp on a 5090 with 48gb of ram to get 50t/s+ with 128k context length for actual decent code editing in opencode. It’s wild that this is possible now.
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Remixie
Remixie@Remixie·
@meta_alex Tune your params. See the press release footnotes for SWE benchmarks
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Alex Skinner
Alex Skinner@meta_alex·
@Remixie What does your config look like I’ve tried on a rtx6000 pro and very unreliable tool calling
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Remixie
Remixie@Remixie·
AND IT HAS VISION
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Remixie
Remixie@Remixie·
@chiefofautism No. Just use whatever model is available for free or subsidized. Or mess with models on rented machines. These two tactics have dissuaded me from buying hardware for AI.
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Remixie
Remixie@Remixie·
Hand posing practice
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へびつかい
へびつかい@hebitsukai·
迷路描きました。どうしようもなく暇な時にどうぞ。
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Remixie
Remixie@Remixie·
@hebitsukai Every day that hebitsukai posts an illustration, it is a good day 😎
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Remixie
Remixie@Remixie·
Tried my hand at the bee challenge over at vgen. I can't shade to save my life but at least I'm slowly improving my line art
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Remixie
Remixie@Remixie·
It's crazy how magical art fundamentals are. I can still barely draw and yet I was able to do this by just drawing the base first.
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Remixie
Remixie@Remixie·
@albertadevs If you ever get acquired by OpenAI, they will achieve ASI through memery
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Remixie
Remixie@Remixie·
@xSaandi Are you interested in getting help with your site? I've done website work for others in the streaming preset market
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