I shipped my first model release 🚀
A vision-safe NVFP4 quant of Qwen3.6-35B-A3B for the NVIDIA DGX Spark (GB10).
67 GB → 22 GB. Native vision fully intact. 512K context. Built for running agents + sub-agents concurrently.
No existing tool could quantize this arch — so I wrote the tooling. 🧵
So this build ships MTP and it's a lossless ~1.26–1.44× decode speedup that keeps fp8 KV (no concurrency cost).
Best part: it holds ~73% draft acceptance at 64k context — where the external DFlash drafter collapses to 0%. It wins exactly where long-context agents live.
Model + quantize script + vLLM patch, all Apache-2.0:
🤗 huggingface.co/frischeDaten/…
Running a DGX Spark and want Qwen3.6 intelligence + native vision without a second model eating your VRAM? This is for you. Feedback welcome 🙏
I opened X today to learn about the DeepSeek Innovation in AI and got his post recommend as first entry when I opened the app. A great and succinct summary of what all the optimizations are. Very promising!
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We at @misterspex are happy to host #javascript #meetup by @wolframkriesing in Berlin today. Intense, today they are exploring all the secrets of the try-catch statement in the ja language. meetup.com/de-DE/javascript-…
3AIR Token Launch in Review blog.3air.io/3air-token-laun… The people at @3aircrypto do a great job. $3air already trades higher after the public launch, probably because the project actually creates value for real people in the real world.
#unfix "The complexity of a system must be adequate to the complexity of the environment that it finds itself in.“
#unfix „A pattern language is an options list, not a shopping list.“ by @jurgenappelo
