Tag: Quantization
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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.…
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1T Inkling Model at 1-bit is 86% smaller
AI-generated concept image of model compression via 1-bit quantization. Thinking Machines Lab’s Inkling — a 975B-parameter (41B active) multimodal with 1M context, vision, and audio (HF model card) — launched day one with a dynamic 1-bit GGUF courtesy of Unsloth. The Compression Format Size Vs. Full BF16 (full) 1.9 TB — NVFP4 ~490 GB 74%…