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Ling-3.0-tiny-MLX-4bit

Use it from OpenCode / Claude Code / Codex: `rapid-mlx agents --setup` · Agent setup The first MLX conversion of inclusionAI/Ling-3.0-tiny: a 7.9B-total / **1.3B-active** sparse-MoE reasoner (128 experts, top-8 + 1 shared) with a KDA + MLA hybrid attention stack and 131K context, MIT licensed. The `bailing_hybrid` architecture is not in upstream `mlx-lm` yet — this checkpoint is served by rapid-mlx, which ships a verified native implementation (reference parity 1.5e-6 against the official modeling code):

翻訳準備中のため原文を表示しています

Use it from OpenCode / Claude Code / Codex: `rapid-mlx agents --setup` · Agent setup The first MLX conversion of inclusionAI/Ling-3.0-tiny: a 7.9B-total / **1.3B-active** sparse-MoE reasoner (128 experts, top-8 + 1 shared) with a KDA + MLA hybrid attention stack and 131K context, MIT licensed. The `bailing_hybrid` architecture is not in upstream `mlx-lm` yet — this checkpoint is served by rapid-mlx, which ships a verified native implementation (reference parity 1.5e-6 against the official modeling code):

情報源

huggingface.co ↗