Tag: Open Weights
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How to Flash DeepSeek V4.1 on an RTX 3090 Fidelity Check
by Chris DePuy, 650 Group / November 2, 2026 On October 29, an operator published a one-card Windows build for the full DeepSeek V4.1 Flash 1017 checkpoint. It ran on a single RTX 3090 with 192 GB memory and, in DGX Spark terms, served 41 tokens per second. The measurement that carries the story is…
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Five Spark Clusters, Two Kinds of Proof: TP5 GLM-5.3 Runs as Beam Sets the Efficiency Bar
by Chris DePuy, 650 Group / October 6, 2026 Five DGX Sparks now carry the full 753-billion-parameter GLM-5.3: an operator reported the first working five-board tensor-parallel build on Monday, with 1.5 million tokens of KV cache, prefill above 2,000 tokens per second, and 76 tokens per second single-stream — rising to 98–113 tokens per second…
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NVIDIA’s Official NVFP4 Checkpoints for DeepSeek-V4.1-Flash and GLM-5.3-Flash: Four DGX Sparks Read the Receipts
by Chris DePuy / September 22, 2026 NVIDIA: what the conversion actually changes The DeepSeek checkpoint converts only the ordinary routed experts — projections w1, w2 and w3 across 384 experts in 40 layers — from the source MXFP4 format to NVFP4 weights and activations at group size 16, per the model card; attention, shared…
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DeepSeek-V4.1-Flash on Four DGX Sparks: The Profile Day One Only Configured Now Boots, Serves and Passes a Million-Token Needle Test
by Chris DePuy / September 14, 2026 Late Sunday evening Pacific time, Mia AI Lab pushed a four-rank serving profile for DeepSeek-V4.1-Flash to its DGX Spark recipe, the same lab whose September 13 post on X put the model on four DGX Sparks and invited readers to run the stack themselves. The significance is not…
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GLM-5.3-Flash on a Single DGX Spark: Three Community Quantizations Fit Where the Vendor’s Does Not
by Chris DePuy / September 13, 2026 On September 9, NVIDIA published an official NVFP4 quantization of Z.ai’s GLM-5.3-Flash. Its Model Optimizer recipe leaves the key-value cache at FP8 and compresses only the linear layers inside the transformer blocks — the sparse-MoE shared experts and the dense MLP — from 16 bits down to 4,…
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Day One on Three and Four Sparks: Community Recipes Put DeepSeek-V4.1-Flash on the Desk
by Chris DePuy / September 12, 2026 On September 10, DeepSeek released DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model with a 552-billion-parameter backbone and a context window of one million tokens. The launch kits for NVIDIA’s desk-side DGX Spark machines arrived the same day: a four-machine stack on vLLM was serving requests by 9:17 Eastern time, roughly…
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DFlash2 Beats DSpark for Qwen3.8-27B on One DGX Spark — and Jumps to Apple Silicon
by Chris DePuy / August 20, 2026 A week ago the Qwen3.8-27B decode race on a single NVIDIA DGX Spark was a contest between DSpark and MTP. This week the leading recipes on the same hardware have switched to a different engine: DFlash2, the block-diffusion speculative decoder that first shipped with DeepSeek, is now beating…
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GLM-5.3-Flash Day Two: DFlash 2 Attacks the Decode Path While 1M-Context KV Moves Onto Two DGX Sparks
by Chris DePuy / August 28, 2026 A day after Z.ai opened weights on GLM-5.3-Flash, the desk-side community pushed the model past what I thought was its practical limit on small hardware. Two bottlenecks — the decode path and the KV cache — were attacked in parallel, and both moved in the same 24 hours.…