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I know nggas be blew they link with me and I ain’t fcking .. aha got yo ass. Should’ve robbed yo thirsty ass 😂😎 • • • • • • • • • • • • • Disclaimer: I don’t link with nggas period but if I did this would be me ✍🏽😎
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don't flirt with me, i fck good and i am crazy
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I never let anyone go down on me because I'm insecure
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I hate when a girl messages me and I get all excited.. bc I love girls and I just want to make more industry friends.. and it's just some bitch trying to pimp me out to her agency. So fcking lame🙄
I was in the mirror like huhhh my wig fcked up @glorillapimp gone say who did yo hair... batch me 😭😭😭 I looked ah hot mess yesterday dawg wig hella unplucked and fat as hell
my mother used to suspend me & my sister’s phones when we was in trouble .. one time she suspended it and i was doing phone scams i turned tht shxt back on .. another time i said fck it and went right to sprint for my own line 🤷🏾‍♀️
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1982 …. When I was going into the army at the age of 17, my grandfather wanted to give me some life advice and asked me to sit with him for a while and talk about all his failures and successes. I shut my mouth and listened and it’s still one of the memorable hours of my life. I think about it all the time. Today … When I was going into the army at the age of 17, my grandfather wanted to give me some life advice, and asked me to sit with him for a while and talk about all his failures and successes - and I said … “Fck you boomer.” I think I’m beginning to see the problem here.
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TensorFold engine 1.2.0 is out 🙌 Qwen3.8-27B with MLX 4-bit weights and DFlash2, compared with 1.1.9: • M3 Ultra: 14.4% faster decoding with one stream, 44.2% higher combined throughput with 16. • M5 Ultra: 5.8% faster decoding with one stream, 25.2% higher combined throughput with 16. New support includes: • MiniMax-M3.1-Flash on Metal. • NVFP4 Qwen3.6-35B-A3B and dense EXL3 Qwen3.8-27B on CUDA. • Gemma 4 E4B on Intel Arc Pro B70. The measured speedups kept matching tokens. Qwen-VL image replies can differ from 1.1.9 because image preparation now matches the checkpoint's own processor. Huge thanks to everyone credited in this release: @bhcc2025 @Bizuayeu @diwakergupta @jvr0x @jayleaton @joshuaswarren @woolsey @petruspennanen @volatilemarkts @MiaAI_lab @plotarmordev And on GitHub: AbrahamCete, akol1, alexderz, Arminova, BadAd84, BlivionIaG, BobClawblaw, fche, gilby, jrb-ai, jschmied, laudney, Mirrdhyn, mrv777, ppardus, simon-lin88, ThomasHalwax, valacroix and wojo. Thank you for the PRs, reviews, testing, bug reports and hardware access. The time and knowledge you keep sharing with TensorFold mean a lot to me. Apologies if I've missed anyone.
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