netrunner @plotarmordev
Cofounder & engineer. Running, testing and building with local AI. What works, what breaks, and what’s worth using. Joined April 2022-
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@jvr0x @StepFun_ai Yep I did ask them if they can publish an official quant with it
Step 5 Preview from @StepFun_ai is 600B params total where only 27B are active, and their chart puts it at the level of GLM 5.3 and Kimi K3 at about 65% less cost per task. For us with a DGX Spark or more, it likely doesn't fit one 128GB pool even quantized, so it's a 2x> Spark build. Will update you on October 15th when it releases
Introducing Step 5 Preview: Advancing the Pareto Frontier. Step 5 Preview is our new flagship model for agentic work, delivering frontier-level performance across software engineering and professional knowledge work, with particular strength in finance. - 600B total / 27B
@FrankYouChill @StepFun_ai Happy to send feedback once I can run it! One bit I can already give now would be to publish an official quant with memory footprint spelled out, that would be super useful
Getting an M5 Ultra soon and this caught my eye as a cool solution for extra performance. By building the engine around a single model they showed 144 tok/s on an M5 Max. Generating up to 3x faster than Ollama, and almost 4x faster when an agent splits work across subagents
@justinn_builds @StepFun_ai yeah de-throning it will be hard, but more options is always good. glm and deepseek are surely cooking better versions already, probably we'll see them by october or november
Guess what? Kimi K3.1 releasing soon! @grok decode this
A gaming PC with a 3090 in it is already a very capable AI machine, and lots of people have one or can afford it. If they succeed we risk every countries to end up treating GPUs like firearms. its serial number registered at checkout, license needed to own more than one, and airport customs asking if you're carrying any undeclared compute...
JUST IN: OpenAI and Anthropic reportedly exaggerated AI security threats to push the government to protect their market position
@realshanmuga It depends on the usage, but yeah, it’s going to be less responsive than DS4F and Qwen models. All the improvements we’re working on are aimed at bringing the performance closer to that level while still retaining the highest possible model quality
Testing some promising GLM EXL3 prefill upgrades on 2x Spark, alongside a custom setup for heavy agent workflows. Hopefully more to share tomorrow 🤞
@MiaAI_lab GLM is going on fire! lots of great contributors helping make this even greater!
@jvr0x @Alibaba_Qwen @MiaAI_lab @QwenDevs @NVIDIAAI 🔥 Always shipping!
@imost @ivanfioravanti @MiaAI_lab more optimizations coming soon!
@MrV_777 Yes here x.com/plotarmordev/s…
Jev launched Monday as a closed API. By Thursday we already have an open weight alternative we can run locally. This is fun, looking forward to test it! huggingface.co/convaiinnovati…
Speed of decision is critical for a lot of applications, and Jev finally makes it accessible. Plenty of things that were hard to build, or stuck inside private company solutions, are suddenly on the table
@MrV_777 Been experimenting with some context compaction solutions, but there is so much it unlocks. You should also have a look at the open source version of it
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