In the Text Arena, Gemini 3.7 Flash (High) landed #9 with 1490 pts, another improvement from Gemini 3.6 Flash (High) (#16 -> #9).
By category, Gemini 3.7 Flash (High) also strongly improved: - #3 Creative Writing (#12 -> #3) - #4 Math (#7 -> #4) - #9 Instruction Following (
Meta's Muse-Glimmer-30B is the first model running on my 3090 able to one shot this.
Not super complicated at all, all other models couldn't one-shot and needed more guidance to get to result. Not only this, but Muse is able to one-shot almost everything i have thrown
The "I don't have enough VRAM" excuse just died.
I’m running Meta’s new 30B Muse Glimmer Q6_K_XL with a massive 130k context window on just 26GB VRAM FREE compute on Kaggle. Kaggle provides you free 2x Nvidia T4 GPUs. 30 hours usage each week! Yesterday, I showed you the
Qwen 3.8 just landed: 2.4 trillion parameters.
And a chat tab is the worst place to use it. The model is a monster: → Near the top of the largest models ever publicly released → Reads text, images, AND video → 1 million token context that it actually uses → Runs
You have reached the end of the archive
All of qwen38