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AnalysisAI Models

Engineering advances make local models viable in mid-2026

Key innovations include sparse attention, mixture-of-experts (MoE), latent KV compression, multi-token prediction, and 4-bit quantization reducing compute and memory. Models like Qwen 3.6 (27B dense, 35B MoE with 3B active), Gemma 4, and DeepSeek V4 now run efficiently on consumer hardware.

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Engineering advances make local models viable in mid-2026 — AIBriefs