HAVEACURSEDDAYWM42

💛 ℍ𝕒𝕡𝕡𝕪 𝟚𝟘𝕥𝕙 𝔻𝕖𝕓𝕦𝕥 𝔸𝕟𝕟𝕚𝕧𝕖𝕣𝕤𝕒𝕣𝕪🎂 #규현 #KYUHYUN

the way Cardi didn’t say Latto’s name in ‘Errtime’ 😂

DIEGO GETS IT DONE 😮‍💨 @DiegoLopesMMA makes a STATEMENT... with a RD2 TKO at #UFCWhiteHouse! LIVE NOW on @ParamountPlus! [ UFC Freedom 250 Presented by @Cryptocom & Ram Trucks ]show more

Repost to join us in celebrating our Ally 🇳🇴... Norway on its Constitution Day! NorwayNATO 🤝 #WeAreNATOshow more

Get ready for one last spell 🪄💜 Wizards Beyond... Waverly Place returns in a special four-part event, premiering this summer on Disney+ and Disney Channel. Including a can’t-miss first episode directed by Selena Gomez.show more

“I’ve arrived at the place you’ve all been waiting... for” HE SAW US BEGGING 😭show more

Las Vegas is an absolute scam American shows what... it costs to order a pizza at the MGM Grand Just a basic cheese pizza is over $47 dollars and the pieces go up from there This is theftshow more

im selling peptides without ever showing my face the... ad above took 14 minutes and cost $0.42 no creator. no studio. no shoot day. ai ugc just hit the realism layer where nobody clocks it the peptide market is doing $71 billion a year (bigger than the entire ai industry combined) the LTV is $2-4k per customer for 7 to 14 years that math lets brands pay you 5x what every other vertical pays ai ugc campaigns running on AffiliateNetwork.com are paying $2-3 per 1000 views right now and theres barely any supply drop "stack" and ill dm you the realism stack im running this week (must follow so i can dm)show more

maga folks when charlie kirk got popped in utah

the power of friendship

New merch 🖤🖤 rush it

Jose Ramirez with a MEAN right hand right to... Tim Anderson’s jawshow more

you came for a quick scroll and now you’re... stuck watching me wiggle these toes 😵‍💫show more

not receiving a message is also receiving a message

Ukhhty Solehot 😍🥵

Quadrupeds in games are tricky, here’s the default locomotion... set of Bento the dog from Somerville. The gaits are 1 walk, 2 trots and 4 x gallops all with left/right turn and incline/decline variants. #animation #gameanimation #quadrupedsshow more

I know magic. I can make him fall asleep... right away 😄show more

Any limp Bizkit fans? 🖤

Free NVIDIA GPU with 16 GB VRAM GPU for... Running Local LLMs! If you want to master local LLMs but you're waiting until you can afford a $1,500 GPU, you're honestly not going to make it. The open source AI ecosystem is moving way too fast for you to wait on your budget to catch up. Especially when you can build a bleeding edge inference engine from scratch right now, completely for free. You don't need a heavy local rig to start. Google is literally letting you use an enterprise grade NVIDIA Tesla T4 GPU for $0/hour. At standard cloud computing rates (~$0.20/hr), Google Colab’s 4 hour daily free tier hands you roughly $24 worth of data center tier GPU compute every single month. And most people just waste it. Let’s talk about the hardware you get access to for free. The NVIDIA Tesla T4 is an absolute workhorse: - Architecture: NVIDIA Turing (TU104) - VRAM: 16GB GDDR6 (320 GB/s bandwidth) - Compute: 320 Tensor Cores | 2560 CUDA Cores - Performance: 130 TOPS INT8 | 8.1 TFLOPS FP32 - Power: Sipping energy at a max 70W TDP This is the exact same hardware I used to run DeepMind's Gemma 4 26B A4B QAT MoE at a 250,000 context window without a single Out Of Memory (OOM) crash. If you have a web browser and 10 minutes, you have everything you need. I’ve put together a fully documented, cell by cell Google Colab notebook that teaches you exactly how to do this. Here is what the notebook actually teaches you: - How to provision an Ubuntu Linux environment with CUDA 13.0 and verify your driver stack. - How to pull the source code and compile the latest llama.cpp C++ binaries from scratch, specifically optimizing the build for your exact GPU using the -DCMAKE_CUDA_ARCHITECTURES=native flag. - How to directly download quantized local LLMs (GGUF format) straight from HuggingFace using the CLI. - How to manage 16GB VRAM limits, offload neural network layers to the GPU, and push massive context windows. Compile raw llama.cpp, ollama run a model, or spin up the LM Studio CLI. Pick whatever stack you are comfortable with. just start building. No hardware. No credit card. No excuses. Bookmark this post right now so you don't lose the tutorial. Even if you don't have time to run it today, you are going to want this workflow in your engineering toolkit. The link to the free Colab Notebook is in the comments below. Lemme know if you need more tutorials like this.show more

Japanese door is not ready for a 7'11 tall... girl 😭show more