mlx_benchmark/__init__.py,sha256=GYMiIK4BIFJRgvqNAB6V86UGy7j831M60UL8OSIEqfg,782
mlx_benchmark/cli.py,sha256=uW9iHeKY8hnYbg2OB3xAeL5RJVVLc6XJZB0VbI7qLfk,9961
mlx_benchmark/dataset.py,sha256=HS8eVUM0pjEDMwchhbx0swqRcXlyod0QMNoz3T1dqgE,1495
mlx_benchmark/export.py,sha256=qrY8iXB1dbbi1TUzOF-ArUxPh1g173P_YAw0U1yaeg8,8652
mlx_benchmark/judge.py,sha256=Y2GlZfDOpbJHjr8WXbQHdQ_Dd1i4dntT5kXyx5ZZWuU,2565
mlx_benchmark/prompts.py,sha256=wuwxG1TaSJimhSDWbtetgZh-aXjcjaybuIlKzNKD4M8,1141
mlx_benchmark/runner.py,sha256=iRjjvMpukeigWgj6b26XrPEgeyNdDMWwgJaitmgHr7E,8809
mlx_benchmark/version.py,sha256=_76lv0zlYaf-rYVGWwE1jv9h806abvS2clXMAEFcjVw,58
mlx_benchmark/backends/__init__.py,sha256=w4z0GSCE2BWpaQJcv2rMwgatUUXTHYrcJiO3nKVE1X8,1440
mlx_benchmark/backends/anthropic_backend.py,sha256=ouJieYD8ftd27YAld-ayUW7rzzvC-3PyZ0Tr3e2updU,842
mlx_benchmark/backends/base.py,sha256=r1Z0N3jqwfk5Odwddghsl1RJJOUkPSt2ESj-4gnhG7E,813
mlx_benchmark/backends/ollama_backend.py,sha256=31BI8LoB-e48chrPeE2F4EyzbWif227G_Z_WI47w3Pw,1231
mlx_benchmark/backends/openai_compat_backend.py,sha256=IJakkBKpXMuaiSZPDKDStBYmDB2AWEBECcte2nYGvQY,1424
mlx_benchmark/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_benchmark/data/dataset_v2.jsonl,sha256=Zk_HnJbXNMPWVibkU0uzQZyH0AXvXZc9rIYQYcLlsx8,226651
mlx_benchmark-1.0.0.dist-info/METADATA,sha256=A4vre-kmkvmfsJqzlGT81IltPdkm_nF1xaDHgu26148,6003
mlx_benchmark-1.0.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
mlx_benchmark-1.0.0.dist-info/entry_points.txt,sha256=UKCq8H3oY4cYaxrBVJEorOpW5PvCpjsRmWouNbu7yKA,53
mlx_benchmark-1.0.0.dist-info/top_level.txt,sha256=JfCreVxxq49cR5ukMUiMrguuw0UYywGpfX5FHn7DHFE,14
mlx_benchmark-1.0.0.dist-info/RECORD,,
