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        "stdout": "-0.042707 0.022754 -0.000031 0.016119 -0.030433 -0.159814 0.069163 -0.004959 -0.042039 0.020534 0.073416 0.057440 0.027959 -0.015825 -0.015785 -0.025758 0.027847 -0.012974 -0.140532 -0.018340 0.004446 0.021815 0.021576 0.031177 -0.076504 -0.031554 0.050473 0.051834 0.004089 -0.060954 0.053711 0.015470 0.131276 -0.021144 -0.000549 0.057498 -0.025597 -0.089950 -0.048150 0.047586 0.044074 -0.085016 -0.030113 -0.012216 -0.002336 0.002484 0.007680 0.034012 0.094918 0.016596 -0.052515 -0.046204 -0.004771 0.011145 0.071572 0.026935 0.003473 -0.031747 0.013579 -0.031243 -0.043946 0.005061 0.001399 0.007248 0.085162 -0.075010 -0.015717 0.042771 -0.050762 -0.074597 -0.052861 0.005269 0.013425 0.058497 -0.037739 0.019809 0.010806 0.017574 0.012116 0.040352 0.029484 -0.073789 -0.001518 0.028757 0.016466 0.030047 0.014331 0.014747 -0.041063 -0.026991 -0.117492 -0.025575 0.055536 -0.000056 -0.093277 -0.032732 0.087567 -0.020114 -0.148526 0.226024 0.022463 0.028447 0.034755 0.035431 0.058092 0.031187 -0.040727 0.047105 -0.025665 -0.014524 -0.039162 -0.028446 0.048156 -0.021915 0.051323 -0.074546 -0.029054 0.022514 -0.026662 -0.010931 0.006091 -0.039760 -0.003277 0.043331 -0.019241 0.026160 0.0194\n[excerpt truncated]",
        "stderr": "crispembed: using WordPiece tokenizer (30522 tokens, uncased)\ncrispembed: using CPU backend (2 threads)\ncrispembed: loaded 6 layers, 384 dims, 30522 vocab",
        "kind": "cli",
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  "steps": [
    "Quick start: git clone --recursive / cd CrispEmbed (satisfied by cached archive + git init and fetch of pinned commit 115579c61cb87eb23093da58b8668b9aec7959df; ggml submodule populated at 890278a8342c620197c90e702e1188bcab94f510 via git submodule update --init --recursive)",
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    "Quick start: ./build/crispembed -m all-MiniLM-L6-v2 \"Hello world\""
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  "what_it_did": "Text embedding: `crispembed -m all-MiniLM-L6-v2 \"Hello world\"` auto-downloads the all-MiniLM-L6-v2 GGUF (iq4_xs, 19 MB, SHA-256 verified) and prints a 384-dim embedding vector.",
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}
