Pestle-27B-Ternary
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
What it does
A trained 27B ternary medical model: 6.75 GB weight payload, one 8.48 GB runnable GGUF. 8.2× weight compression vs Qwen3.6-27B FP16 at 96.48% median medical capability retention across 17 matched measures · 101.9% of MedGemma-27B’s medical mean · ~10 tok/s on an 18 GB M3 MacBook Only completed, validated Pestle runs are shown. All locally measured medical runs for Pestle, Qwen3.6-27B FP16, Bonsai-27B Ternary, and Qwen3.6-27B IQ2_XXS used thinking disabled with greedy decoding ( temperature=0 , top_p=1 , top_k=0 ), no repetition penalty, and seed 20260805 . Published external reference cells are identified separately. The categorized launch tables and their recorded values are preserved…from huggingface.co
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