File size: 4,844 Bytes
c69aaec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | {
"model-00010-of-00011.safetensors": "eebd640041420154ff2012e1183aad514f5913cf361b1dea75de748aa2a95e09",
"predict.py": "bb943c7a401dff38cff849a1feb0c81bf5748bc3640fc9f465f221c45d2b18fe",
"development-report.json": "62ae6ef27ec5b9801da60751862682ba9a29423a2cedc3dff5ce7327d56967fd",
"model-00011-of-00011.safetensors": "48e89be3ae44c699b886fedee92b6af9a0824942d2084e2a22933980046cf0c2",
"README.md": "4a928d062921e5a6058662191599655b435fa4adcf11ad8c48ae2667fa26fa31",
"readout.safetensors": "ce692e0ef00a37d2f9dfbe1e5968ded1651e8f2f10b71e380ff55951ed549d49",
"requirements-runtime.txt": "71da29126d4502c44bd407494a65fdb6dedbeb6b6eab0ecd63fd2b100c41f762",
"LICENSE": "bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a",
"jev_fp4.py": "bd1ce72035d94530df04d015ac5a02aa89d95b82eb403e3431777d1cfd49db94",
"model-00008-of-00011.safetensors": "4471d3afaaa1ce98b6775817ca70376afd8e3ebd84b2bfe32c5c30c27e99f34c",
"model-00009-of-00011.safetensors": "0462c43a75b9bc107a3c5c4177801dc44400ea1abd80a4ac375fb0c3a9310004",
"config.json": "687f20bf493b8ee787dadaf338cf6df644dad44e32bcd2c3677a47c6c213d8b3",
"model.safetensors.index.json": "47578994ccf715f1215c5d7706ccc4d85d6c920d1d2290ba84484c1077e740a9",
"model-00005-of-00011.safetensors": "f4f773d14c82b5a04696d894a28c99f03813ac512825f8898e6a22c8250a22d9",
"comparison.json": "a591cf1956f7a2357f5c9684998dbad01773bb0c3b51156d37e08043154824c7",
"MODEL_INFO.json": "69f29d81822f919b3485d905452bd4511f9bc4db12b054ed8f5ff5c81992f8f7",
"tokenizer_config.json": "188cf0b9db5cfd6e92f1b63c646f5975be6f8383c6c9a2fa5dc2b48a8b229402",
"processor_config.json": "abb488b9a03a53407dc9c8e43c0a2caec9142e5fc7a1203807fdf54b2149cc8f",
"model-00002-of-00011.safetensors": "862178edd7310c992e3745ddcb99033f1475c77fece50df053bed5f59046877f",
"model-00003-of-00011.safetensors": "958078019f2708b7c4040d5ca76d328ce0a59097926b6cd21ce353689c9bb8d8",
"PACKED_WEIGHT_AUDIT.json": "5f3857bef47b748ea23ef25520f158d94e91f20dd7d671da17ce275e0cdd4f07",
"model-00006-of-00011.safetensors": "e8361936669dcf7b43e2111091e8817dd22b1c00866fea07c98776f5800dce0b",
"model-00007-of-00011.safetensors": "c45c995b6dd1f285e6e458d41fbbbd34e4c34a02de2c93283004cd1ec16d23a6",
"KERNEL_AUDIT.json": "00cbd77b9fa3a51889d51813edbc9e1304ba57a52a81bf1fb319d6d53f22656a",
"decision_config.json": "53913349c9ed4b2da32d9aac1213e13155c3979fa1519f70f03bc446a6df9891",
"PERFORMANCE.json": "9561e673f3a11c717c7773ff14968e9bcf3c59ca0d52102f1bf8744c265e0cd5",
"fp4_kernels.py": "51d840415f0e83841fbe1695d9c554dc93d0c981b4beeaaf126653fe59ff5786",
"chat_template.jinja": "c3cf9e34abf4f9e36c2d72165aa9c132d3e2a725b6c2586aaa3a8af9d7a81041",
"jev_quantization.json": "e06f7704547a5ff5ab6115e86b5a927916c7422679c078fcaec1aa80b64bb4f3",
"tokenizer.json": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523",
"model-00004-of-00011.safetensors": "56af19cfa059b421bdb340c8cd72d643faf4bda4ae562e165b2bae07db0465b9",
"model-00001-of-00011.safetensors": "b0c79f80e2f6128a847de967961877fdd1c46878ef01412b768bd44ae81f0f43",
"confirmation-report.json": "3a354cf7927daf45f16e373d13d92941e3e98a9b59883d7ad3748cdb42348916",
"scores.json": "daee6072eadae15ab15f38d6fc12e5d88c5d1a3d7bc3d98367db1413eac1dcc2",
"kev/model.py": "8250fb508be12d0f1bccafca8972da12a0aa412f7f00db80a1cfa69889ab85db",
"kev/sources.py": "2b0d35feeba3222b4b38e94d34814db67fa9afdca54babf02a386a8f3cb01248",
"kev/data.py": "d21518bad5eb5f2e558be30527c53ae56591f88445a8dd1d9d0ca5b32d6d373e",
"kev/events.py": "858146b1298a38609cf42c74cf569039ed2300b883a927587a6ac51f61f9890f",
"kev/train.py": "f40fa9fd2b639751bceb10c3cd2f66ce08c9064078c90f5c70b634a9abad8dc2",
"kev/decide.py": "f7f9bf60884f270806ec1f80791cc2b8981572e50757940e8b6eb07c6b9e351a",
"kev/bench.py": "6c7960650a9439cc0ba9c7da8a83c73fc45785f2be18fb7ca51b8077e782050c",
"kev/server.py": "04dcd1db58a207577ff197594af165881c3828b3e54610e9df4ae906d8975163",
"kev/optim.py": "ae0ec56aafe7d01cd46f7d9e088909610fa48314ed215b550b5c67c38d6f365d",
"kev/continuation.py": "625fe56781983347d7c7c8b3873413753162137e2fb279e0fb123aaa9e2bee56",
"kev/types.py": "0f8e3bfa4e92693ec50b9f258fb9180438a62d30caf9b3e6c00860a71e46dc5a",
"kev/tracking.py": "6f4200f63dc8d4bf324bc6c552f975fd62e94e1a472ff923aa7be2a468fb9c07",
"kev/build.py": "3e95844e72b34ec9d13ce24e8d35ae5d5ee5b0d866c8b285451b6c6cea7dfe95",
"kev/train_fsdp.py": "679da61cefa8201164621e5ed8c1e7edc381ffbe9522245de0bae0c4419538e1",
"kev/__init__.py": "fcf53d6834587f74a00f08027c4659f395385bb79901e9e90bfd83edfd330bd6",
"kev/playground.html": "50a7816603f0264eab086b069e04c1f86b643abb5689ccc7743e675df5d79fa9",
"kev/py.typed": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"kev/evaluate.py": "7fc537d47a1e627be79731c263fce09634e80b88b285646bcec2512aab6c451f"
}
|