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added qwen3.8:27b to recommended model list
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["ministral-3:14b-instruct-2512-q4_K_M", " 8.55", "10GB", "European model, strong multilangual, has vision, is agentic", "mistral.ai", "apache-2.0"],
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["hf.co/mradermacher/Ling-mini-2.0-GGUF:Q4_K_M", "20.00", "10GB", "very fast 16B MoE model with 1.4B activated parameters per expert", "InclusionAI", "mit"],
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["olmo-3.1:32b-instruct-q4_K_M", "10.25", "19GB", "open and accessible training data, open-source training code", "allenai.org", "apache-2.0"],
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["qwen3.6:27b-mtp-q4_K_M", "49.22", "17GB", "Exceptional good 27B model with vision, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"],
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["qwen3.8:27b-mtp-q4_K_M", "57.42", "17GB", "Exceptional good 27B model with vision, ranking above GPT-4-turbo, GPT-4.1-nano, GPT-o1, GPT-4o-mini", "Alibaba", "apache-2.0"],
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["muse-glimmer:30b-q4_K_M-dflash", "55.55", "21GB", "Agent-first model from Meta, tuned for tool use, long tasks, and failure recovery", "Meta", "apache-2.0"],
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["qwen3.6:35b-a3b-mtp-q4_K_M", "45.91", "22GB", "Almost as good as the 27B model, but much faster", "Alibaba", "apache-2.0"]
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];
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