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Interactive neuron steering playground for Qwen3.5-4B that runs locally in the browser on WebGPU
There is a trend on X where users are finding tiny subsets of neurons (often just one or two) that c…
Qwen investigation traces release
In the spirit of transparency and openness, we are releasing the traces so developers can test this …
Have you gone fully local?
I’ve been running a local model on a dgx spark for about a month now. I’ve been building out my pi h…
GPU unlocks (FP32 accumulation): Why can it be unlocked on Turing (RTX 20), Ampere (RTX 30) and Ada (RTX 40) but no consumer Blackwell (RTX 50) and some misconceptions.
Hello guys, hoping you're doing fine. Wall of text next I know, but I want to get this info out of m…
I built an engine that runs Qwen-Flash-Next at nearly 400t/s on cheap(ish) hardware. 3x V100 32GB in an old R740. Originally forked from strata but the engine guts all built for the old Volta generation.
submitted by /u/jfinkpottery [link] [comments]…
I now have definitive proofs that my Qwen Flash Next is trying to send something to a remote Chinese server
This is my system instruction in my harness as proof, feel free to validate !! You are FriendlyBot-9…
Price 5080 10 days
I paid $1658 on October 16th, on October 19th I paid $2032; with tax, shipping, same card. Now $2318…
Oh nvidia… —>> NVIDIA reportedly not accepting RTX 5090 orders from board partners, even backorders are unavailable
submitted by /u/chemist_slime [link] [comments]…
Qwen3.8-Flash-Next tried to send diagnostic file to a remote location, while stating otherwies.
submitted by /u/Lazylion2 [link] [comments]…
Have 8 GB of VRAM and 32 GB of RAM? You can run Qwen 3.8 Flash Next at up to 900 t/s PP and 30 t/s TG!
First, this isn’t clickbait - these are real results. I managed to run Qwen 3.8 Flash Next Q2 and go…
Researchers from Stanford and UC Berkeley Introduce TokenGate: Token-Gated Attention Makes Long-Context Prefill Up to 11.3x Faster
i hope it's real submitted by /u/MundanePercentage674 [link] [comments]…
Benchmark: Recursive's Flint 40B A2.5B Q4 achieves 128 tok/s on MacBook Pro M4 Pro 48GB using Kapitsa, an open-source Apple Silicon optimized engine, Claude/Codex/Pi/OpenCode compatible.
hey folks, im Ye, im one of the contributors to Kapitsa, an open source inference engine optimized s…