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#TGU2025# was soooo fun!
Huge thanks to everyone who joined “PLAY WITH PRO”🎮
Sorry we ran out of goodies halfway
through… that’s on us...
I’m gonna practice a ton, get way better, and I’ll for sure be back in Thailand next year!🇹🇭
And TRASHBOX @trassssshbox from our team got the dub — massive congrats!! 🏆
Also! This trip was supported by WALLMA @wallma_store — seriously, thank you sooo much!
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Israeli Walla website: Estimates in Israel indicate that Hezbollah and Hamas are trying to increase tensions in coordination with Iran
Systematic Growth, owner of Wellma Group is planning a sale of the Stockholm-based company, people with knowledge of the matter said
Thought I was early to the bsc launchpad but u can literally just revibe code one walla
You don’t need 128GB of unified memory to run Qwen 3.8 Next Flash & DeepSeek V4 Flash.
Run Qwen 3.8 Next Flash on Mac 20GB RAM
it Wallm streams routed experts off the SSD instead of loading the full checkpoint into unified memory.
- feeds on Codex, 11K input: 60 tok/s prefill, 8 tok/s decode.
- TTFT is the pain: 17–76 s depending on prompt length
- Peak RAM: 23 to 36 GiB as context grows
This is not MLX loading a 2-bit quant into 96GB+. Custom Swift/Metal runtime, Experts live on NAND until the router asks for them.
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