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Vibe Coding2026-08-28 · source-backed
A user moved from UD-Q3_K_XL at 140k context to UD-IQ3_XXS and cleared 200k on a 16GB eGPU over Thunderbolt 4, with KV cache at q5_1 and llama.cpp built with DGGML_CUDA_FA_ALL_QUANTS=ON (r/LocalLLaMA). Prompt processing fell from 700-800 tok/s to 400. A commenter on an RTX 5080 with KV at Q4_0 and vision forced to CPU via --no-mmproj-offload reported 1750 PP/s and 85 TG/s at 132k context, which is the better-balanced configuration of the two.
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For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
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Anthropic, OpenAI, Google, Meta, Microsoft and Mistral are all Section 1 signatories of the EU Code of Practice on Transparency of AI-Generated Content, and the 315-upvote, 246-comment thread centers on whether open-weight models from those companies carry watermarking too (Eu...
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