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This guy's lossless compression slashes 753B GLM-5.2 30% to 980GB with bit-exact math. 🤯
Gives me hope it could really fit in 3x DGX Sparks.
brian@brianbellx
I removed 423 GB from GLM‑5.2 without changing the model. 1,403 GB → 980 GB. 753B weights. Bit for bit exact. No quantization or retraining. The weights remain compressed in VRAM instead of rebuilding the full model first. Full writeup and repo in the next post.
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@MiaAI_lab @NVIDIAAI Loving mimo for 2X sparks! Great all around! Thank you.
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What are the best models you can run on your
@NVIDIAAI DGX Spark? ✨
Mid-July 2026 Edition
1× DGX Spark
• Qwen 3.6 35b NVFP4 — 256k ctx, 81 tok/s
• Qwen 3.6 27b NVFP4 — 256k ctx, 33 tok/s
2× DGX Sparks ← sweet spot!
• DeepSeek v4 Flash — 1M ctx, 60 tok/s
• MiMo-V2.5 — 1M ctx, Full Omni, 31 tok/s
• Step-3.7-Flash — 256K ctx, 30 tok/s
3× DGX Sparks
With three units, I recommend running a large model across two of them and a smaller one on the third. I'd personally run DeepSeek v4 Flash + Qwen 3.6 35B.
This setup gives you DeepSeek v4 Flash speeds for coding, plus strong agentic workflows and image support from Qwen 3.6 35B.
4× DGX Sparks
GLM 5.2 NVFP4 across all 4 units — if you have four units, this is the one to run!
Links and repos below 👇

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I’m excited to announce I’m taking part of my salary in BITCOIN w. Cash App! Bitcoin is the future, @klaythompson and I are both believers. To make bitcoin more accessible, we're giving out $1M in bitcoin back to fans today. Drop your $cashtag w. #PaidInBitcoin & follow @CashApp
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#disqus_thread" target="_blank" rel="nofollow noopener">medrxiv.org/content/10.110…
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1/ Something I've been asked for is my own "top 10 list" for privacy, so here are my recommended top key steps and tools for a privacy journey, in my own prioritized order:
blog.sethforprivacy.com/posts/privacy-…
Remember these are in a personal order, so threat model and adjust accordingly!
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