Download python-baseline.json from hf-internal-testing/tokenizers-bench: direct link, hf CLI and curl.
- Browser
- Download file 51.1 kB
-
https://huggingface.co/datasets/hf-internal-testing/tokenizers-bench/resolve/main/python-baseline.json
- Command line
-
hf download hf://datasets/hf-internal-testing/tokenizers-bench/python-baseline.json
-
curl -L -o python-baseline.json https://huggingface.co/datasets/hf-internal-testing/tokenizers-bench/resolve/main/python-baseline.json
51.1 kB
| { | |
| "machine_info": { | |
| "node": "aws-general-8-plus-use1-public-80-fhnqf-runner-kc7kl", | |
| "processor": "x86_64", | |
| "machine": "x86_64", | |
| "python_compiler": "GCC 13.3.0", | |
| "python_implementation": "CPython", | |
| "python_implementation_version": "3.12.3", | |
| "python_version": "3.12.3", | |
| "python_build": [ | |
| "main", | |
| "Jun 19 2026 12:46:00" | |
| ], | |
| "release": "6.12.103-127.188.amzn2023.x86_64", | |
| "system": "Linux", | |
| "cpu": { | |
| "python_version": "3.12.3.final.0 (64 bit)", | |
| "cpuinfo_version": [ | |
| 10, | |
| 1, | |
| 1 | |
| ], | |
| "cpuinfo_version_string": "10.1.1", | |
| "arch": "X86_64", | |
| "bits": 64, | |
| "count": 32, | |
| "arch_string_raw": "x86_64", | |
| "vendor_id_raw": "GenuineIntel", | |
| "brand_raw": "Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz", | |
| "hz_advertised_friendly": "2.9000 GHz", | |
| "hz_actual_friendly": "2.9000 GHz", | |
| "hz_advertised": [ | |
| 2900000000, | |
| 0 | |
| ], | |
| "hz_actual": [ | |
| 2899974000, | |
| 0 | |
| ], | |
| "stepping": 6, | |
| "model": 106, | |
| "family": 6, | |
| "flags": [ | |
| "3dnowprefetch", | |
| "abm", | |
| "adx", | |
| "aes", | |
| "aperfmperf", | |
| "apic", | |
| "arat", | |
| "arch_capabilities", | |
| "avx", | |
| "avx2", | |
| "avx512_bitalg", | |
| "avx512_vbmi2", | |
| "avx512_vnni", | |
| "avx512_vpopcntdq", | |
| "avx512bitalg", | |
| "avx512bw", | |
| "avx512cd", | |
| "avx512dq", | |
| "avx512f", | |
| "avx512ifma", | |
| "avx512vbmi", | |
| "avx512vbmi2", | |
| "avx512vl", | |
| "avx512vnni", | |
| "avx512vpopcntdq", | |
| "bmi1", | |
| "bmi2", | |
| "clflush", | |
| "clflushopt", | |
| "clwb", | |
| "cmov", | |
| "constant_tsc", | |
| "cpuid", | |
| "cpuid_fault", | |
| "cx16", | |
| "cx8", | |
| "de", | |
| "erms", | |
| "f16c", | |
| "flush_l1d", | |
| "fma", | |
| "fpu", | |
| "fsgsbase", | |
| "fxsr", | |
| "gfni", | |
| "ht", | |
| "hypervisor", | |
| "ibpb", | |
| "ibrs", | |
| "ibrs_enhanced", | |
| "ida", | |
| "invpcid", | |
| "lahf_lm", | |
| "lm", | |
| "mca", | |
| "mce", | |
| "md_clear", | |
| "mmx", | |
| "movbe", | |
| "msr", | |
| "mtrr", | |
| "nonstop_tsc", | |
| "nopl", | |
| "nx", | |
| "ospke", | |
| "osxsave", | |
| "pae", | |
| "pat", | |
| "pcid", | |
| "pclmulqdq", | |
| "pdpe1gb", | |
| "pge", | |
| "pku", | |
| "pni", | |
| "popcnt", | |
| "pse", | |
| "pse36", | |
| "rdpid", | |
| "rdrand", | |
| "rdrnd", | |
| "rdseed", | |
| "rdtscp", | |
| "rep_good", | |
| "sep", | |
| "sha", | |
| "sha_ni", | |
| "smap", | |
| "smep", | |
| "ss", | |
| "ssbd", | |
| "sse", | |
| "sse2", | |
| "sse4_1", | |
| "sse4_2", | |
| "ssse3", | |
| "stibp", | |
| "syscall", | |
| "tme", | |
| "tsc", | |
| "tsc_adjust", | |
| "tsc_deadline_timer", | |
| "tsc_known_freq", | |
| "tscdeadline", | |
| "vaes", | |
| "vme", | |
| "vpclmulqdq", | |
| "wbnoinvd", | |
| "x2apic", | |
| "xgetbv1", | |
| "xsave", | |
| "xsavec", | |
| "xsaveopt", | |
| "xsaves", | |
| "xtopology" | |
| ], | |
| "l3_cache_size": 56623104, | |
| "l2_cache_size": 20971520, | |
| "l1_data_cache_size": 786432, | |
| "l1_instruction_cache_size": 524288, | |
| "l2_cache_line_size": 256, | |
| "l2_cache_associativity": 6 | |
| } | |
| }, | |
| "commit_info": { | |
| "id": "7eb3c7ca428681048507a6c62bcd1337d2386c23", | |
| "time": "2026-09-17T16:17:22+02:00", | |
| "author_time": "2026-09-17T16:17:22+02:00", | |
| "dirty": false, | |
| "project": "tokenizers", | |
| "branch": "main" | |
| }, | |
| "benchmarks": [ | |
| { | |
| "group": null, | |
| "name": "test_encode", | |
| "fullname": "tests/test_benchmarks.py::TestBPEGPT2::test_encode", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 2.1447162900003605, | |
| "max": 2.193843351000396, | |
| "mean": 2.171099530533502, | |
| "stddev": 0.013972446530561188, | |
| "rounds": 15, | |
| "median": 2.1697110080003768, | |
| "iqr": 0.01797924200059242, | |
| "q1": 2.1643333764995987, | |
| "q3": 2.182312618500191, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 4, | |
| "outliers": "4;0", | |
| "ld15iqr": 2.1447162900003605, | |
| "hd15iqr": 2.193843351000396, | |
| "ops": 0.4605961108352647, | |
| "total": 32.56649295800253, | |
| "data": [ | |
| 2.184369057999902, | |
| 2.1752273350002724, | |
| 2.1778285560003496, | |
| 2.182959624000432, | |
| 2.1865842650004197, | |
| 2.1697110080003768, | |
| 2.166177695999977, | |
| 2.193843351000396, | |
| 2.163965680999354, | |
| 2.180371601999468, | |
| 2.16038217500045, | |
| 2.165436463000333, | |
| 2.1469959410005686, | |
| 2.1447162900003605, | |
| 2.1679239129998678 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode_batch", | |
| "fullname": "tests/test_benchmarks.py::TestBPEGPT2::test_encode_batch", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.547566325999469, | |
| "max": 0.571766832999856, | |
| "mean": 0.5544153816664523, | |
| "stddev": 0.005959844073849173, | |
| "rounds": 15, | |
| "median": 0.5530929390006349, | |
| "iqr": 0.006758741249996092, | |
| "q1": 0.5507864359992709, | |
| "q3": 0.557545177249267, | |
| "iqr_outliers": 1, | |
| "stddev_outliers": 3, | |
| "outliers": "3;1", | |
| "ld15iqr": 0.547566325999469, | |
| "hd15iqr": 0.571766832999856, | |
| "ops": 1.8037017605720407, | |
| "total": 8.316230724996785, | |
| "data": [ | |
| 0.571766832999856, | |
| 0.557589284999267, | |
| 0.551621566999529, | |
| 0.5530929390006349, | |
| 0.5484246460000577, | |
| 0.5579046570001083, | |
| 0.5505080589991849, | |
| 0.5543218820002949, | |
| 0.5520899160001136, | |
| 0.5548707979996834, | |
| 0.5574128539992671, | |
| 0.5488427999998748, | |
| 0.5582483509997473, | |
| 0.5519698119996974, | |
| 0.547566325999469 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode_batch_multithreaded", | |
| "fullname": "tests/test_benchmarks.py::TestBPEGPT2::test_encode_batch_multithreaded", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.5357817979993342, | |
| "max": 0.5674173340003108, | |
| "mean": 0.5495725306666525, | |
| "stddev": 0.00911407249304473, | |
| "rounds": 15, | |
| "median": 0.5509047549994648, | |
| "iqr": 0.00953322200052753, | |
| "q1": 0.54332419249954, | |
| "q3": 0.5528574145000675, | |
| "iqr_outliers": 2, | |
| "stddev_outliers": 4, | |
| "outliers": "4;2", | |
| "ld15iqr": 0.5357817979993342, | |
| "hd15iqr": 0.5671882059996278, | |
| "ops": 1.8195960391014483, | |
| "total": 8.243587959999786, | |
| "data": [ | |
| 0.5463783029999831, | |
| 0.5357817979993342, | |
| 0.5509047549994648, | |
| 0.5428807349999261, | |
| 0.5433934339998814, | |
| 0.5540778490003504, | |
| 0.5529373919998761, | |
| 0.5433011119994262, | |
| 0.5526174820006418, | |
| 0.5449690200002806, | |
| 0.537905074000264, | |
| 0.5524234140002591, | |
| 0.5674173340003108, | |
| 0.5514120520001597, | |
| 0.5671882059996278 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode", | |
| "fullname": "tests/test_benchmarks.py::TestLlama3::test_encode", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 2.4589998070005095, | |
| "max": 2.523012448999907, | |
| "mean": 2.4809615570001067, | |
| "stddev": 0.019290566286414578, | |
| "rounds": 15, | |
| "median": 2.47606651300066, | |
| "iqr": 0.022813364250168888, | |
| "q1": 2.4679168752497844, | |
| "q3": 2.4907302394999533, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 5, | |
| "outliers": "5;0", | |
| "ld15iqr": 2.4589998070005095, | |
| "hd15iqr": 2.523012448999907, | |
| "ops": 0.40306952648196837, | |
| "total": 37.2144233550016, | |
| "data": [ | |
| 2.5095903150004233, | |
| 2.5079078220005613, | |
| 2.523012448999907, | |
| 2.471833292000156, | |
| 2.47606651300066, | |
| 2.4599248750000697, | |
| 2.4721482599998126, | |
| 2.4589998070005095, | |
| 2.479383971000061, | |
| 2.477877107000495, | |
| 2.4933220220000294, | |
| 2.462748405999264, | |
| 2.4720422210002653, | |
| 2.4666114029996606, | |
| 2.482954891999725 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode_batch", | |
| "fullname": "tests/test_benchmarks.py::TestLlama3::test_encode_batch", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.6126026840001941, | |
| "max": 0.7007657880003535, | |
| "mean": 0.6364143120665783, | |
| "stddev": 0.025126636974876583, | |
| "rounds": 15, | |
| "median": 0.6315230679992965, | |
| "iqr": 0.02514011225093782, | |
| "q1": 0.619261690999565, | |
| "q3": 0.6444018032505028, | |
| "iqr_outliers": 2, | |
| "stddev_outliers": 2, | |
| "outliers": "2;2", | |
| "ld15iqr": 0.6126026840001941, | |
| "hd15iqr": 0.6826593260002483, | |
| "ops": 1.5713034434325943, | |
| "total": 9.546214680998673, | |
| "data": [ | |
| 0.6189747829994303, | |
| 0.6126026840001941, | |
| 0.6378137199999401, | |
| 0.6178772819994265, | |
| 0.6151920809998046, | |
| 0.6465978310006903, | |
| 0.6826593260002483, | |
| 0.6201224149999689, | |
| 0.6371549260002212, | |
| 0.625081348999629, | |
| 0.6315230679992965, | |
| 0.6205388250000397, | |
| 0.6466189570001006, | |
| 0.7007657880003535, | |
| 0.6326916459993299 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode_fast", | |
| "fullname": "tests/test_benchmarks.py::TestLlama3::test_encode_fast", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.49419519799994305, | |
| "max": 0.5247141299996656, | |
| "mean": 0.5112239203997888, | |
| "stddev": 0.008891684489918136, | |
| "rounds": 15, | |
| "median": 0.5123198459996274, | |
| "iqr": 0.014168158750180737, | |
| "q1": 0.5056048264993933, | |
| "q3": 0.519772985249574, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 7, | |
| "outliers": "7;0", | |
| "ld15iqr": 0.49419519799994305, | |
| "hd15iqr": 0.5247141299996656, | |
| "ops": 1.9560900030225057, | |
| "total": 7.6683588059968315, | |
| "data": [ | |
| 0.516536379000172, | |
| 0.5123198459996274, | |
| 0.5055577199991603, | |
| 0.5057461460000923, | |
| 0.5075576300005196, | |
| 0.5208518539993747, | |
| 0.5084340859993972, | |
| 0.5012442890001694, | |
| 0.5138194219998695, | |
| 0.5223997029997918, | |
| 0.5127725909997025, | |
| 0.5209991980000268, | |
| 0.5247141299996656, | |
| 0.5012106139993193, | |
| 0.49419519799994305 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_encode_batch_multithreaded", | |
| "fullname": "tests/test_benchmarks.py::TestLlama3::test_encode_batch_multithreaded", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.6091832609999983, | |
| "max": 0.6539427080006135, | |
| "mean": 0.6393447728001168, | |
| "stddev": 0.010703556152180868, | |
| "rounds": 15, | |
| "median": 0.64086721700005, | |
| "iqr": 0.008777014499401048, | |
| "q1": 0.6370119705002253, | |
| "q3": 0.6457889849996263, | |
| "iqr_outliers": 1, | |
| "stddev_outliers": 3, | |
| "outliers": "3;1", | |
| "ld15iqr": 0.6261546969999472, | |
| "hd15iqr": 0.6539427080006135, | |
| "ops": 1.5641013151954517, | |
| "total": 9.590171592001752, | |
| "data": [ | |
| 0.6091832609999983, | |
| 0.6389285259992903, | |
| 0.6482282050001231, | |
| 0.6419579180001165, | |
| 0.6458385159994577, | |
| 0.6371785380006258, | |
| 0.64086721700005, | |
| 0.6539427080006135, | |
| 0.6456403920001321, | |
| 0.638944120000815, | |
| 0.6471128800003498, | |
| 0.6369564480000918, | |
| 0.6261546969999472, | |
| 0.6453654429997187, | |
| 0.6338727230004224 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_decode_batch", | |
| "fullname": "tests/test_benchmarks.py::TestLlama3::test_decode_batch", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.002563199999713106, | |
| "max": 0.00280668099912873, | |
| "mean": 0.0026506531420066293, | |
| "stddev": 3.679748462437725e-05, | |
| "rounds": 338, | |
| "median": 0.0026444764998814208, | |
| "iqr": 4.8038000386441126e-05, | |
| "q1": 0.002626890999636089, | |
| "q3": 0.00267492900002253, | |
| "iqr_outliers": 5, | |
| "stddev_outliers": 87, | |
| "outliers": "87;5", | |
| "ld15iqr": 0.002563199999713106, | |
| "hd15iqr": 0.0027531559999260935, | |
| "ops": 377.2655064339983, | |
| "total": 0.8959207619982408, | |
| "data": [ | |
| 0.0027691370005413773, | |
| 0.00280668099912873, | |
| 0.0027390870000090217, | |
| 0.002676068000255327, | |
| 0.0027531559999260935, | |
| 0.0027377059996069875, | |
| 0.002692887999728555, | |
| 0.0026594040000418318, | |
| 0.002686953999727848, | |
| 0.002715671999794722, | |
| 0.002681798999219609, | |
| 0.0026897039997493266, | |
| 0.002675126000212913, | |
| 0.002634798000144656, | |
| 0.0026511390005907742, | |
| 0.0026141350008401787, | |
| 0.002664306999577093, | |
| 0.0026756980005302466, | |
| 0.0026355280006100656, | |
| 0.0027312620004522614, | |
| 0.002661827999872912, | |
| 0.0026362660000813776, | |
| 0.0026615819997459766, | |
| 0.0026191489996563178, | |
| 0.002618151000206126, | |
| 0.0026346690001446404, | |
| 0.002654063999216305, | |
| 0.0026768220004669274, | |
| 0.0026156629992328817, | |
| 0.002631866999763588, | |
| 0.002719634999266418, | |
| 0.002630427999974927, | |
| 0.0026512009999350994, | |
| 0.0026286100001016166, | |
| 0.002664984999682929, | |
| 0.0026876420006374246, | |
| 0.0026588029995764373, | |
| 0.002668782000000647, | |
| 0.002649728000506002, | |
| 0.0026757790001283865, | |
| 0.002630832999784616, | |
| 0.0026104890002898173, | |
| 0.0026280969996150816, | |
| 0.002635186000588874, | |
| 0.0026679759994294727, | |
| 0.0026373709997642436, | |
| 0.0027164389994140947, | |
| 0.0026058570001623593, | |
| 0.002636342999721819, | |
| 0.0026607879999573925, | |
| 0.002664560000084748, | |
| 0.002661417999661353, | |
| 0.0026261569992129807, | |
| 0.0027250990005995845, | |
| 0.002652148000379384, | |
| 0.0026671130008253385, | |
| 0.002638661000673892, | |
| 0.002676691000488063, | |
| 0.002695215000130702, | |
| 0.002635993000694725, | |
| 0.0026457539997863933, | |
| 0.0026571899998089066, | |
| 0.002672573000381817, | |
| 0.0026422860000820947, | |
| 0.0026316980001865886, | |
| 0.0026399460002721753, | |
| 0.00264446900018811, | |
| 0.00270427500072401, | |
| 0.0026166349998675287, | |
| 0.0026349939998908667, | |
| 0.002676058000361081, | |
| 0.0026160100005654385, | |
| 0.0026187069997831713, | |
| 0.0026233069993395475, | |
| 0.0025963540001612273, | |
| 0.002630167999996047, | |
| 0.002677952999874833, | |
| 0.002635180999277509, | |
| 0.0026215039997623535, | |
| 0.0026310269995519775, | |
| 0.002619988000333251, | |
| 0.0025963640000554733, | |
| 0.0025709370002005016, | |
| 0.0026105589995495393, | |
| 0.0026312379995943047, | |
| 0.0026695930000641965, | |
| 0.0026295380002920865, | |
| 0.0026216090000161785, | |
| 0.0025944109993361053, | |
| 0.002570982999714033, | |
| 0.0026421789998494205, | |
| 0.002636445999996795, | |
| 0.002587162000054377, | |
| 0.002626890999636089, | |
| 0.002611975000036182, | |
| 0.0025928660006684368, | |
| 0.0026414159992782515, | |
| 0.002643570999680378, | |
| 0.0026255840002704645, | |
| 0.0026353249995736405, | |
| 0.0026219009996566456, | |
| 0.0026612390001901076, | |
| 0.0026038860005428432, | |
| 0.002620236999973713, | |
| 0.0026284320001650485, | |
| 0.002596026999526657, | |
| 0.0026457019994268194, | |
| 0.002678806999938388, | |
| 0.0026768440002342686, | |
| 0.002675445999557269, | |
| 0.0025938240005416446, | |
| 0.0026465629998710938, | |
| 0.0025993369999923743, | |
| 0.0026277209999534534, | |
| 0.002584346000730875, | |
| 0.0026025099996331846, | |
| 0.002563199999713106, | |
| 0.0025894390000757994, | |
| 0.002633643000081065, | |
| 0.0026331560002290644, | |
| 0.002651533000062045, | |
| 0.0026124120004169527, | |
| 0.002649301000019477, | |
| 0.0026060610007334617, | |
| 0.0025797899997996865, | |
| 0.002638984000441269, | |
| 0.0026736710005934583, | |
| 0.002614543000163394, | |
| 0.0027132900004289695, | |
| 0.0026507769998715958, | |
| 0.002610067000205163, | |
| 0.0026107779995072633, | |
| 0.002643445999638061, | |
| 0.002638533999743231, | |
| 0.0026159839999309042, | |
| 0.0026393950001875055, | |
| 0.0027065300000685966, | |
| 0.0026153170001634862, | |
| 0.0025936009997167275, | |
| 0.0026344010002503637, | |
| 0.0026812420001078863, | |
| 0.0026326360002713045, | |
| 0.0025992350001615705, | |
| 0.002608130000226083, | |
| 0.002651146000061999, | |
| 0.0026084929995704442, | |
| 0.0026126720003958326, | |
| 0.0025959690001400304, | |
| 0.0026192710001851083, | |
| 0.0026420179992783233, | |
| 0.00266535999980988, | |
| 0.002608022999993409, | |
| 0.002639410000483622, | |
| 0.002660816000570776, | |
| 0.0026389160002509016, | |
| 0.0026680900000428664, | |
| 0.002601442000013776, | |
| 0.002618743999846629, | |
| 0.002625973999784037, | |
| 0.002649037000082899, | |
| 0.0027053280000473023, | |
| 0.0026543550002315897, | |
| 0.0026466539993634797, | |
| 0.0026466480003364268, | |
| 0.0026273980001860764, | |
| 0.0026505010000619222, | |
| 0.002676932000213128, | |
| 0.002697995000744413, | |
| 0.0026141090002056444, | |
| 0.002585743000054208, | |
| 0.0026360490001025028, | |
| 0.0026906209996013786, | |
| 0.0027077579998149304, | |
| 0.0026998599996659323, | |
| 0.002666028999556147, | |
| 0.002774534000309359, | |
| 0.0026408229996377486, | |
| 0.0026609149999785586, | |
| 0.00269668599958095, | |
| 0.0026257520003127865, | |
| 0.002627305999340024, | |
| 0.0026314390006518806, | |
| 0.002622899000016332, | |
| 0.002641652999955113, | |
| 0.002624953000122332, | |
| 0.002614001000438293, | |
| 0.002611945999888121, | |
| 0.002637143999891123, | |
| 0.0026159180006288807, | |
| 0.0026465349992577103, | |
| 0.0026511320002100547, | |
| 0.0026332289999118075, | |
| 0.0025988830002461327, | |
| 0.002650660999279353, | |
| 0.0026519020002524485, | |
| 0.002590510000118229, | |
| 0.0026038660007543513, | |
| 0.0026693260006140918, | |
| 0.0026332190000175615, | |
| 0.0026828159998331103, | |
| 0.002698680000321474, | |
| 0.002713243000471266, | |
| 0.002634632000081183, | |
| 0.002629456999784452, | |
| 0.0027031159997932264, | |
| 0.002682858000298438, | |
| 0.002631784999721276, | |
| 0.002662545999555732, | |
| 0.0026789820003614295, | |
| 0.002687435000552796, | |
| 0.002659935999872687, | |
| 0.0026620500002536573, | |
| 0.002675794000424503, | |
| 0.002636363999954483, | |
| 0.0026521199997660005, | |
| 0.0026722409993453766, | |
| 0.002661804999661399, | |
| 0.002676709999832383, | |
| 0.002649119999659888, | |
| 0.0026556989996606717, | |
| 0.002666499999577354, | |
| 0.002627662999657332, | |
| 0.002676097999938065, | |
| 0.0026754470000014408, | |
| 0.0027034159993490903, | |
| 0.0026534580001680297, | |
| 0.002645866999955615, | |
| 0.0026383320000604726, | |
| 0.002678224000192131, | |
| 0.0026567439999780618, | |
| 0.002645009999469039, | |
| 0.0026765909997266135, | |
| 0.0026326419992983574, | |
| 0.002623233000122127, | |
| 0.00262987600035558, | |
| 0.002641825999489811, | |
| 0.002654720999998972, | |
| 0.0026686050005082507, | |
| 0.0026398859999972046, | |
| 0.002641275999849313, | |
| 0.002633182999488781, | |
| 0.0026150149997192784, | |
| 0.0027126699997097603, | |
| 0.002618675000121584, | |
| 0.0026108629999725963, | |
| 0.002654084999448969, | |
| 0.002652325000781275, | |
| 0.0026345770002080826, | |
| 0.0027060900001742993, | |
| 0.002607800999612664, | |
| 0.0026336789997003507, | |
| 0.0026193869998678565, | |
| 0.0026185350006926456, | |
| 0.0026301420002710074, | |
| 0.0026742979998743976, | |
| 0.00262180299978354, | |
| 0.002648523999596364, | |
| 0.002623135999783699, | |
| 0.0026826250004887697, | |
| 0.0026823380003406783, | |
| 0.002635132000250451, | |
| 0.0026777189996209927, | |
| 0.0026383499998701154, | |
| 0.002630124999996042, | |
| 0.002614533000269148, | |
| 0.0027015639998353436, | |
| 0.002615958999740542, | |
| 0.002635091000229295, | |
| 0.0026502239998080768, | |
| 0.002647305000209599, | |
| 0.002694134000194026, | |
| 0.002699659999962023, | |
| 0.0026411160006318823, | |
| 0.002673031000085757, | |
| 0.00264546599919413, | |
| 0.002629781999530678, | |
| 0.0026642760003596777, | |
| 0.002684451999812154, | |
| 0.0026179039996350184, | |
| 0.0026109359996553394, | |
| 0.0026465740002095117, | |
| 0.0026346779995947145, | |
| 0.0026556040002105874, | |
| 0.002638120000483468, | |
| 0.0026267310004186584, | |
| 0.0026275350001014885, | |
| 0.002632775999700243, | |
| 0.0026386509998701513, | |
| 0.002637749999848893, | |
| 0.0027051229999415227, | |
| 0.0027119959995616227, | |
| 0.002734112999860372, | |
| 0.002667144999577431, | |
| 0.0026253719997839653, | |
| 0.0026206700003967853, | |
| 0.0026852169994526776, | |
| 0.002659200000380224, | |
| 0.002636466999319964, | |
| 0.0027002500000889995, | |
| 0.002798045999952592, | |
| 0.002728223000303842, | |
| 0.002693002999876626, | |
| 0.002669141000296804, | |
| 0.0026802550000866177, | |
| 0.002683714000340842, | |
| 0.0026747270003397716, | |
| 0.002710036999815202, | |
| 0.002676818000509229, | |
| 0.0026604360000419547, | |
| 0.0026240289998895605, | |
| 0.0026377029998911894, | |
| 0.0026785960008055554, | |
| 0.002668189999894821, | |
| 0.00264391299970157, | |
| 0.0026772249993882724, | |
| 0.002619488000163983, | |
| 0.002653050999469997, | |
| 0.002651572000104352, | |
| 0.002649468000527122, | |
| 0.0027018020000468823, | |
| 0.0027335160002621706, | |
| 0.002740466000432207, | |
| 0.002633525999954145, | |
| 0.0026444839995747316, | |
| 0.002624722000291513, | |
| 0.00267492900002253, | |
| 0.0026569700003165053, | |
| 0.002714170999752241, | |
| 0.0026868989998547477, | |
| 0.0026940440002363175, | |
| 0.0026459649998287205, | |
| 0.00264102399978583, | |
| 0.002629771999636432, | |
| 0.002695091000532557, | |
| 0.0026571989992589806, | |
| 0.0026219809997201082, | |
| 0.0026661900001272443, | |
| 0.0026755179997053347 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_async_encode_batch", | |
| "fullname": "tests/test_benchmarks.py::TestAsync::test_async_encode_batch", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.6010486310005945, | |
| "max": 0.6419070729998566, | |
| "mean": 0.6237502924666842, | |
| "stddev": 0.012853916587938621, | |
| "rounds": 15, | |
| "median": 0.6249504190000152, | |
| "iqr": 0.020776395749635412, | |
| "q1": 0.6142778345001716, | |
| "q3": 0.635054230249807, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 5, | |
| "outliers": "5;0", | |
| "ld15iqr": 0.6010486310005945, | |
| "hd15iqr": 0.6419070729998566, | |
| "ops": 1.6032056611074248, | |
| "total": 9.356254387000263, | |
| "data": [ | |
| 0.621127544999581, | |
| 0.6010486310005945, | |
| 0.6067421339994326, | |
| 0.6249504190000152, | |
| 0.6214805179997711, | |
| 0.635235740999633, | |
| 0.6363638729999366, | |
| 0.6392252770001505, | |
| 0.6180396319996362, | |
| 0.6057858060003127, | |
| 0.6419070729998566, | |
| 0.630038472000706, | |
| 0.6130239020003501, | |
| 0.6267756659999577, | |
| 0.6345096980003291 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_async_encode_batch_fast", | |
| "fullname": "tests/test_benchmarks.py::TestAsync::test_async_encode_batch_fast", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.48674205700081075, | |
| "max": 0.5256206259991814, | |
| "mean": 0.500362036200022, | |
| "stddev": 0.00958385467999458, | |
| "rounds": 15, | |
| "median": 0.5006001649999234, | |
| "iqr": 0.011941705000253933, | |
| "q1": 0.49357858899998064, | |
| "q3": 0.5055202940002346, | |
| "iqr_outliers": 1, | |
| "stddev_outliers": 3, | |
| "outliers": "3;1", | |
| "ld15iqr": 0.48674205700081075, | |
| "hd15iqr": 0.5256206259991814, | |
| "ops": 1.9985529030029079, | |
| "total": 7.50543054300033, | |
| "data": [ | |
| 0.49337786700016295, | |
| 0.5006001649999234, | |
| 0.5021931519995633, | |
| 0.4963080469997294, | |
| 0.48674205700081075, | |
| 0.5071136670003398, | |
| 0.5071043080006348, | |
| 0.5256206259991814, | |
| 0.4979718060003506, | |
| 0.4939205139999103, | |
| 0.5025436109999646, | |
| 0.4934646140000041, | |
| 0.48793110699989484, | |
| 0.50476791499932, | |
| 0.5057710870005394 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_from_file_roberta", | |
| "fullname": "tests/test_benchmarks.py::TestSerialization::test_from_file_roberta", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.06171260900009656, | |
| "max": 0.066136529000687, | |
| "mean": 0.06281315619993014, | |
| "stddev": 0.001390412438743819, | |
| "rounds": 15, | |
| "median": 0.06216036299974803, | |
| "iqr": 0.0018313050004508113, | |
| "q1": 0.06194763524968039, | |
| "q3": 0.0637789402501312, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 3, | |
| "outliers": "3;0", | |
| "ld15iqr": 0.06171260900009656, | |
| "hd15iqr": 0.066136529000687, | |
| "ops": 15.920231691861906, | |
| "total": 0.9421973429989521, | |
| "data": [ | |
| 0.06273629400038772, | |
| 0.06219155500002671, | |
| 0.06201092199989944, | |
| 0.066136529000687, | |
| 0.0641264890000457, | |
| 0.062302634999468864, | |
| 0.06196891999934451, | |
| 0.06216036299974803, | |
| 0.06177200999991328, | |
| 0.06185923799966986, | |
| 0.06194718299957458, | |
| 0.06171260900009656, | |
| 0.061948991999997816, | |
| 0.06425955699978658, | |
| 0.06506404700030544 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_from_file_llama3", | |
| "fullname": "tests/test_benchmarks.py::TestSerialization::test_from_file_llama3", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.3968486439998742, | |
| "max": 0.4316783040003429, | |
| "mean": 0.41384895206647343, | |
| "stddev": 0.01064415571394851, | |
| "rounds": 15, | |
| "median": 0.4142806769996241, | |
| "iqr": 0.00961544274946391, | |
| "q1": 0.4090400259999569, | |
| "q3": 0.41865546874942083, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 6, | |
| "outliers": "6;0", | |
| "ld15iqr": 0.3968486439998742, | |
| "hd15iqr": 0.4316783040003429, | |
| "ops": 2.4163405392394894, | |
| "total": 6.2077342809971015, | |
| "data": [ | |
| 0.41909657299947867, | |
| 0.4316783040003429, | |
| 0.4152881299996807, | |
| 0.41328262299975904, | |
| 0.4123197519993482, | |
| 0.4079467840001598, | |
| 0.39826085599997896, | |
| 0.4142806769996241, | |
| 0.3968486439998742, | |
| 0.41261745100018743, | |
| 0.3981967679992522, | |
| 0.41431967000062286, | |
| 0.4271153379995667, | |
| 0.42915055499997834, | |
| 0.41733215599924733 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_from_file_albert", | |
| "fullname": "tests/test_benchmarks.py::TestSerialization::test_from_file_albert", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.04531806099930691, | |
| "max": 0.04827866699997685, | |
| "mean": 0.046072308666615366, | |
| "stddev": 0.0008006005234373548, | |
| "rounds": 21, | |
| "median": 0.04588051800055837, | |
| "iqr": 0.0006800502496844274, | |
| "q1": 0.04556433375000779, | |
| "q3": 0.04624438399969222, | |
| "iqr_outliers": 2, | |
| "stddev_outliers": 2, | |
| "outliers": "2;2", | |
| "ld15iqr": 0.04531806099930691, | |
| "hd15iqr": 0.04808295000020735, | |
| "ops": 21.70501172919546, | |
| "total": 0.9675184819989227, | |
| "data": [ | |
| 0.04582959100025619, | |
| 0.046107287000268116, | |
| 0.04680471000028774, | |
| 0.046164212999428855, | |
| 0.04808295000020735, | |
| 0.04827866699997685, | |
| 0.04534014000000752, | |
| 0.04557247799948527, | |
| 0.04533902599996509, | |
| 0.04531806099930691, | |
| 0.046414115000516176, | |
| 0.04597999199995684, | |
| 0.04622709999966901, | |
| 0.04588636199969187, | |
| 0.04561777599974448, | |
| 0.04553413800022099, | |
| 0.04555827599961049, | |
| 0.04572049299986247, | |
| 0.04588051800055837, | |
| 0.04629623599976185, | |
| 0.045566353000140225 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_to_str_llama3", | |
| "fullname": "tests/test_benchmarks.py::TestSerialization::test_to_str_llama3", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.0989556980002817, | |
| "max": 0.10134474599999521, | |
| "mean": 0.09980949293318796, | |
| "stddev": 0.0006626051903714393, | |
| "rounds": 15, | |
| "median": 0.09965982700032328, | |
| "iqr": 0.0009323137505816703, | |
| "q1": 0.09930670374956208, | |
| "q3": 0.10023901750014375, | |
| "iqr_outliers": 0, | |
| "stddev_outliers": 4, | |
| "outliers": "4;0", | |
| "ld15iqr": 0.0989556980002817, | |
| "hd15iqr": 0.10134474599999521, | |
| "ops": 10.0190870688963, | |
| "total": 1.4971423939978195, | |
| "data": [ | |
| 0.09942948699972476, | |
| 0.10029561700048362, | |
| 0.09953666999990674, | |
| 0.09910329199919943, | |
| 0.0989556980002817, | |
| 0.10040930700051831, | |
| 0.10134474599999521, | |
| 0.09921017399938137, | |
| 0.09979773899976863, | |
| 0.10006921899912413, | |
| 0.10070037099922047, | |
| 0.09965982700032328, | |
| 0.09928963399943314, | |
| 0.0999827000005098, | |
| 0.0993579129999489 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_from_str_llama3", | |
| "fullname": "tests/test_benchmarks.py::TestSerialization::test_from_str_llama3", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.3954678190002596, | |
| "max": 0.4246909260000393, | |
| "mean": 0.4012107596667799, | |
| "stddev": 0.0069146326817034025, | |
| "rounds": 15, | |
| "median": 0.39949341400006233, | |
| "iqr": 0.003982213499739373, | |
| "q1": 0.3978854240003784, | |
| "q3": 0.4018676375001178, | |
| "iqr_outliers": 1, | |
| "stddev_outliers": 1, | |
| "outliers": "1;1", | |
| "ld15iqr": 0.3954678190002596, | |
| "hd15iqr": 0.4246909260000393, | |
| "ops": 2.4924555882562482, | |
| "total": 6.018161395001698, | |
| "data": [ | |
| 0.4045020890007436, | |
| 0.39949341400006233, | |
| 0.40246449200003553, | |
| 0.39974550300030387, | |
| 0.3954678190002596, | |
| 0.3985136080000302, | |
| 0.3976697959997182, | |
| 0.39887197999996715, | |
| 0.39966224799991323, | |
| 0.4000770740003645, | |
| 0.3978302140003507, | |
| 0.3980510540004616, | |
| 0.3977017289998912, | |
| 0.40341944899955706, | |
| 0.4246909260000393 | |
| ], | |
| "iterations": 1 | |
| } | |
| }, | |
| { | |
| "group": null, | |
| "name": "test_train_bpe_small", | |
| "fullname": "tests/test_benchmarks.py::TestTraining::test_train_bpe_small", | |
| "params": null, | |
| "param": null, | |
| "extra_info": {}, | |
| "options": { | |
| "disable_gc": false, | |
| "timer": "perf_counter", | |
| "min_rounds": 15, | |
| "max_time": 1.0, | |
| "min_time": 5e-06, | |
| "precision": null, | |
| "confidence": null, | |
| "warmup": false | |
| }, | |
| "stats": { | |
| "min": 0.027513766000083706, | |
| "max": 0.03239751399996749, | |
| "mean": 0.02857560141664332, | |
| "stddev": 0.0011502037376544365, | |
| "rounds": 24, | |
| "median": 0.028214429499712423, | |
| "iqr": 0.0015004589995442075, | |
| "q1": 0.027745462000439147, | |
| "q3": 0.029245920999983355, | |
| "iqr_outliers": 1, | |
| "stddev_outliers": 3, | |
| "outliers": "3;1", | |
| "ld15iqr": 0.027513766000083706, | |
| "hd15iqr": 0.03239751399996749, | |
| "ops": 34.99488901106974, | |
| "total": 0.6858144339994396, | |
| "data": [ | |
| 0.028474146999542427, | |
| 0.02821803099959652, | |
| 0.028210827999828325, | |
| 0.02937904700047511, | |
| 0.030277896000370674, | |
| 0.03239751399996749, | |
| 0.029720620999796665, | |
| 0.028587537999555934, | |
| 0.029112794999491598, | |
| 0.028422708000107377, | |
| 0.027928231000259984, | |
| 0.027513766000083706, | |
| 0.027657822000037413, | |
| 0.02764627000033215, | |
| 0.028052255000147852, | |
| 0.02763557500020397, | |
| 0.027879870000106166, | |
| 0.027838013999826217, | |
| 0.02979937100008101, | |
| 0.029630634999193717, | |
| 0.02829330900021887, | |
| 0.02764726699933817, | |
| 0.02765910700054519, | |
| 0.027831817000333103 | |
| ], | |
| "iterations": 1 | |
| } | |
| } | |
| ], | |
| "datetime": "2026-09-17T14:21:11.832894+00:00", | |
| "version": "5.3.0" | |
| } |