| { | |
| "config_general": { | |
| "lighteval_sha": "1.4", | |
| "num_few_shot_default": null, | |
| "num_fewshot_seeds": null, | |
| "override_batch_size": null, | |
| "max_samples": null, | |
| "job_id": -1, | |
| "start_time": null, | |
| "end_time": "2024-05-20-03-47-37", | |
| "total_evaluation_time_secondes": "", | |
| "model_name": "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-8x8-hf", | |
| "model_sha": "", | |
| "model_dtype": "2bit", | |
| "model_size": 2.73, | |
| "model_params": 6.48, | |
| "quant_type": "AQLM", | |
| "precision": "2bit" | |
| }, | |
| "results": { | |
| "harness|openbookqa|0": { | |
| "acc,none": 0.284, | |
| "acc_stderr,none": 0.02018670369357085, | |
| "acc_norm,none": 0.4, | |
| "acc_norm_stderr,none": 0.021930844120728505, | |
| "alias": "openbookqa" | |
| }, | |
| "harness|lambada:openai|0": { | |
| "perplexity,none": 4.623725999863417, | |
| "perplexity_stderr,none": 0.10657475064064027, | |
| "acc,none": 0.6811566078012808, | |
| "acc_stderr,none": 0.006492684061449838, | |
| "alias": "lambada_openai" | |
| }, | |
| "harness|mmlu|0": { | |
| "acc,none": 0.3007406352371457, | |
| "acc_stderr,none": 0.003854246733008758, | |
| "alias": "mmlu" | |
| }, | |
| "harness|mmlu_humanities|0": { | |
| "alias": " - humanities", | |
| "acc,none": 0.3026567481402763, | |
| "acc_stderr,none": 0.006671499990771424 | |
| }, | |
| "harness|mmlu_formal_logic|0": { | |
| "alias": " - formal_logic", | |
| "acc,none": 0.21428571428571427, | |
| "acc_stderr,none": 0.03670066451047182 | |
| }, | |
| "harness|mmlu_high_school_european_history|0": { | |
| "alias": " - high_school_european_history", | |
| "acc,none": 0.32727272727272727, | |
| "acc_stderr,none": 0.03663974994391241 | |
| }, | |
| "harness|mmlu_high_school_us_history|0": { | |
| "alias": " - high_school_us_history", | |
| "acc,none": 0.3627450980392157, | |
| "acc_stderr,none": 0.03374499356319355 | |
| }, | |
| "harness|mmlu_high_school_world_history|0": { | |
| "alias": " - high_school_world_history", | |
| "acc,none": 0.4008438818565401, | |
| "acc_stderr,none": 0.031900803894732356 | |
| }, | |
| "harness|mmlu_international_law|0": { | |
| "alias": " - international_law", | |
| "acc,none": 0.371900826446281, | |
| "acc_stderr,none": 0.04412015806624503 | |
| }, | |
| "harness|mmlu_jurisprudence|0": { | |
| "alias": " - jurisprudence", | |
| "acc,none": 0.35185185185185186, | |
| "acc_stderr,none": 0.04616631111801715 | |
| }, | |
| "harness|mmlu_logical_fallacies|0": { | |
| "alias": " - logical_fallacies", | |
| "acc,none": 0.3006134969325153, | |
| "acc_stderr,none": 0.0360251131880677 | |
| }, | |
| "harness|mmlu_moral_disputes|0": { | |
| "alias": " - moral_disputes", | |
| "acc,none": 0.3352601156069364, | |
| "acc_stderr,none": 0.025416003773165555 | |
| }, | |
| "harness|mmlu_moral_scenarios|0": { | |
| "alias": " - moral_scenarios", | |
| "acc,none": 0.23575418994413408, | |
| "acc_stderr,none": 0.014196375686290804 | |
| }, | |
| "harness|mmlu_philosophy|0": { | |
| "alias": " - philosophy", | |
| "acc,none": 0.3215434083601286, | |
| "acc_stderr,none": 0.026527724079528872 | |
| }, | |
| "harness|mmlu_prehistory|0": { | |
| "alias": " - prehistory", | |
| "acc,none": 0.3487654320987654, | |
| "acc_stderr,none": 0.02651759772446501 | |
| }, | |
| "harness|mmlu_professional_law|0": { | |
| "alias": " - professional_law", | |
| "acc,none": 0.2907431551499348, | |
| "acc_stderr,none": 0.011598062372851981 | |
| }, | |
| "harness|mmlu_world_religions|0": { | |
| "alias": " - world_religions", | |
| "acc,none": 0.32748538011695905, | |
| "acc_stderr,none": 0.035993357714560276 | |
| }, | |
| "harness|mmlu_other|0": { | |
| "alias": " - other", | |
| "acc,none": 0.3270035403926617, | |
| "acc_stderr,none": 0.008393111920442035 | |
| }, | |
| "harness|mmlu_business_ethics|0": { | |
| "alias": " - business_ethics", | |
| "acc,none": 0.27, | |
| "acc_stderr,none": 0.044619604333847415 | |
| }, | |
| "harness|mmlu_clinical_knowledge|0": { | |
| "alias": " - clinical_knowledge", | |
| "acc,none": 0.33962264150943394, | |
| "acc_stderr,none": 0.02914690474779833 | |
| }, | |
| "harness|mmlu_college_medicine|0": { | |
| "alias": " - college_medicine", | |
| "acc,none": 0.2832369942196532, | |
| "acc_stderr,none": 0.03435568056047873 | |
| }, | |
| "harness|mmlu_global_facts|0": { | |
| "alias": " - global_facts", | |
| "acc,none": 0.35, | |
| "acc_stderr,none": 0.047937248544110196 | |
| }, | |
| "harness|mmlu_human_aging|0": { | |
| "alias": " - human_aging", | |
| "acc,none": 0.26905829596412556, | |
| "acc_stderr,none": 0.029763779406874975 | |
| }, | |
| "harness|mmlu_management|0": { | |
| "alias": " - management", | |
| "acc,none": 0.2815533980582524, | |
| "acc_stderr,none": 0.04453254836326469 | |
| }, | |
| "harness|mmlu_marketing|0": { | |
| "alias": " - marketing", | |
| "acc,none": 0.3717948717948718, | |
| "acc_stderr,none": 0.03166098891888078 | |
| }, | |
| "harness|mmlu_medical_genetics|0": { | |
| "alias": " - medical_genetics", | |
| "acc,none": 0.41, | |
| "acc_stderr,none": 0.049431107042371025 | |
| }, | |
| "harness|mmlu_miscellaneous|0": { | |
| "alias": " - miscellaneous", | |
| "acc,none": 0.3550446998722861, | |
| "acc_stderr,none": 0.017112085772772994 | |
| }, | |
| "harness|mmlu_nutrition|0": { | |
| "alias": " - nutrition", | |
| "acc,none": 0.3562091503267974, | |
| "acc_stderr,none": 0.027420477662629235 | |
| }, | |
| "harness|mmlu_professional_accounting|0": { | |
| "alias": " - professional_accounting", | |
| "acc,none": 0.30141843971631205, | |
| "acc_stderr,none": 0.02737412888263115 | |
| }, | |
| "harness|mmlu_professional_medicine|0": { | |
| "alias": " - professional_medicine", | |
| "acc,none": 0.23529411764705882, | |
| "acc_stderr,none": 0.02576725201085597 | |
| }, | |
| "harness|mmlu_virology|0": { | |
| "alias": " - virology", | |
| "acc,none": 0.37349397590361444, | |
| "acc_stderr,none": 0.03765845117168862 | |
| }, | |
| "harness|mmlu_social_sciences|0": { | |
| "alias": " - social_sciences", | |
| "acc,none": 0.30744231394215144, | |
| "acc_stderr,none": 0.00829988495163527 | |
| }, | |
| "harness|mmlu_econometrics|0": { | |
| "alias": " - econometrics", | |
| "acc,none": 0.2631578947368421, | |
| "acc_stderr,none": 0.04142439719489362 | |
| }, | |
| "harness|mmlu_high_school_geography|0": { | |
| "alias": " - high_school_geography", | |
| "acc,none": 0.29797979797979796, | |
| "acc_stderr,none": 0.032586303838365555 | |
| }, | |
| "harness|mmlu_high_school_government_and_politics|0": { | |
| "alias": " - high_school_government_and_politics", | |
| "acc,none": 0.38341968911917096, | |
| "acc_stderr,none": 0.03508984236295342 | |
| }, | |
| "harness|mmlu_high_school_macroeconomics|0": { | |
| "alias": " - high_school_macroeconomics", | |
| "acc,none": 0.2564102564102564, | |
| "acc_stderr,none": 0.022139081103971527 | |
| }, | |
| "harness|mmlu_high_school_microeconomics|0": { | |
| "alias": " - high_school_microeconomics", | |
| "acc,none": 0.28991596638655465, | |
| "acc_stderr,none": 0.029472485833136077 | |
| }, | |
| "harness|mmlu_high_school_psychology|0": { | |
| "alias": " - high_school_psychology", | |
| "acc,none": 0.344954128440367, | |
| "acc_stderr,none": 0.020380605405066966 | |
| }, | |
| "harness|mmlu_human_sexuality|0": { | |
| "alias": " - human_sexuality", | |
| "acc,none": 0.3511450381679389, | |
| "acc_stderr,none": 0.04186445163013751 | |
| }, | |
| "harness|mmlu_professional_psychology|0": { | |
| "alias": " - professional_psychology", | |
| "acc,none": 0.30392156862745096, | |
| "acc_stderr,none": 0.01860755213127983 | |
| }, | |
| "harness|mmlu_public_relations|0": { | |
| "alias": " - public_relations", | |
| "acc,none": 0.36363636363636365, | |
| "acc_stderr,none": 0.04607582090719976 | |
| }, | |
| "harness|mmlu_security_studies|0": { | |
| "alias": " - security_studies", | |
| "acc,none": 0.22857142857142856, | |
| "acc_stderr,none": 0.026882144922307744 | |
| }, | |
| "harness|mmlu_sociology|0": { | |
| "alias": " - sociology", | |
| "acc,none": 0.3333333333333333, | |
| "acc_stderr,none": 0.03333333333333334 | |
| }, | |
| "harness|mmlu_us_foreign_policy|0": { | |
| "alias": " - us_foreign_policy", | |
| "acc,none": 0.31, | |
| "acc_stderr,none": 0.04648231987117316 | |
| }, | |
| "harness|mmlu_stem|0": { | |
| "alias": " - stem", | |
| "acc,none": 0.2654614652711703, | |
| "acc_stderr,none": 0.007843275093064069 | |
| }, | |
| "harness|mmlu_abstract_algebra|0": { | |
| "alias": " - abstract_algebra", | |
| "acc,none": 0.3, | |
| "acc_stderr,none": 0.046056618647183814 | |
| }, | |
| "harness|mmlu_anatomy|0": { | |
| "alias": " - anatomy", | |
| "acc,none": 0.2814814814814815, | |
| "acc_stderr,none": 0.03885004245800254 | |
| }, | |
| "harness|mmlu_astronomy|0": { | |
| "alias": " - astronomy", | |
| "acc,none": 0.28289473684210525, | |
| "acc_stderr,none": 0.03665349695640767 | |
| }, | |
| "harness|mmlu_college_biology|0": { | |
| "alias": " - college_biology", | |
| "acc,none": 0.2569444444444444, | |
| "acc_stderr,none": 0.03653946969442099 | |
| }, | |
| "harness|mmlu_college_chemistry|0": { | |
| "alias": " - college_chemistry", | |
| "acc,none": 0.26, | |
| "acc_stderr,none": 0.0440844002276808 | |
| }, | |
| "harness|mmlu_college_computer_science|0": { | |
| "alias": " - college_computer_science", | |
| "acc,none": 0.25, | |
| "acc_stderr,none": 0.04351941398892446 | |
| }, | |
| "harness|mmlu_college_mathematics|0": { | |
| "alias": " - college_mathematics", | |
| "acc,none": 0.31, | |
| "acc_stderr,none": 0.04648231987117316 | |
| }, | |
| "harness|mmlu_college_physics|0": { | |
| "alias": " - college_physics", | |
| "acc,none": 0.20588235294117646, | |
| "acc_stderr,none": 0.04023382273617747 | |
| }, | |
| "harness|mmlu_computer_security|0": { | |
| "alias": " - computer_security", | |
| "acc,none": 0.4, | |
| "acc_stderr,none": 0.049236596391733084 | |
| }, | |
| "harness|mmlu_conceptual_physics|0": { | |
| "alias": " - conceptual_physics", | |
| "acc,none": 0.3276595744680851, | |
| "acc_stderr,none": 0.030683020843230997 | |
| }, | |
| "harness|mmlu_electrical_engineering|0": { | |
| "alias": " - electrical_engineering", | |
| "acc,none": 0.2620689655172414, | |
| "acc_stderr,none": 0.036646663372252565 | |
| }, | |
| "harness|mmlu_elementary_mathematics|0": { | |
| "alias": " - elementary_mathematics", | |
| "acc,none": 0.23809523809523808, | |
| "acc_stderr,none": 0.02193587808118476 | |
| }, | |
| "harness|mmlu_high_school_biology|0": { | |
| "alias": " - high_school_biology", | |
| "acc,none": 0.3064516129032258, | |
| "acc_stderr,none": 0.026226485652553873 | |
| }, | |
| "harness|mmlu_high_school_chemistry|0": { | |
| "alias": " - high_school_chemistry", | |
| "acc,none": 0.2315270935960591, | |
| "acc_stderr,none": 0.029678333141444455 | |
| }, | |
| "harness|mmlu_high_school_computer_science|0": { | |
| "alias": " - high_school_computer_science", | |
| "acc,none": 0.33, | |
| "acc_stderr,none": 0.047258156262526045 | |
| }, | |
| "harness|mmlu_high_school_mathematics|0": { | |
| "alias": " - high_school_mathematics", | |
| "acc,none": 0.25555555555555554, | |
| "acc_stderr,none": 0.02659393910184408 | |
| }, | |
| "harness|mmlu_high_school_physics|0": { | |
| "alias": " - high_school_physics", | |
| "acc,none": 0.2052980132450331, | |
| "acc_stderr,none": 0.03297986648473835 | |
| }, | |
| "harness|mmlu_high_school_statistics|0": { | |
| "alias": " - high_school_statistics", | |
| "acc,none": 0.19444444444444445, | |
| "acc_stderr,none": 0.026991454502036737 | |
| }, | |
| "harness|mmlu_machine_learning|0": { | |
| "alias": " - machine_learning", | |
| "acc,none": 0.21428571428571427, | |
| "acc_stderr,none": 0.03894641120044792 | |
| }, | |
| "harness|boolq|0": { | |
| "acc,none": 0.7003058103975535, | |
| "acc_stderr,none": 0.00801263880645437, | |
| "alias": "boolq" | |
| }, | |
| "harness|truthfulqa:mc2|0": { | |
| "acc,none": 0.4019049189158086, | |
| "acc_stderr,none": 0.014095106904013666, | |
| "alias": "truthfulqa_mc2" | |
| }, | |
| "harness|arc:easy|0": { | |
| "acc,none": 0.6641414141414141, | |
| "acc_stderr,none": 0.009691180932083496, | |
| "acc_norm,none": 0.6380471380471381, | |
| "acc_norm_stderr,none": 0.009860991466688476, | |
| "alias": "arc_easy" | |
| }, | |
| "harness|winogrande|0": { | |
| "acc,none": 0.6471981057616417, | |
| "acc_stderr,none": 0.01342972810178896, | |
| "alias": "winogrande" | |
| }, | |
| "harness|hellaswag|0": { | |
| "acc,none": 0.4977096195976897, | |
| "acc_stderr,none": 0.004989729059957427, | |
| "acc_norm,none": 0.6783509261103365, | |
| "acc_norm_stderr,none": 0.004661544991583015, | |
| "alias": "hellaswag" | |
| }, | |
| "harness|piqa|0": { | |
| "acc,none": 0.7377584330794341, | |
| "acc_stderr,none": 0.01026250256517245, | |
| "acc_norm,none": 0.7480957562568009, | |
| "acc_norm_stderr,none": 0.010128421335088683, | |
| "alias": "piqa" | |
| }, | |
| "harness|truthfulqa:mc1|0": { | |
| "acc,none": 0.2631578947368421, | |
| "acc_stderr,none": 0.015415241740237014, | |
| "alias": "truthfulqa_mc1" | |
| }, | |
| "harness|arc:challenge|0": { | |
| "acc,none": 0.3583617747440273, | |
| "acc_stderr,none": 0.014012883334859864, | |
| "acc_norm,none": 0.38054607508532423, | |
| "acc_norm_stderr,none": 0.01418827771234983, | |
| "alias": "arc_challenge" | |
| } | |
| }, | |
| "task_info": { | |
| "model": "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-8x8-hf", | |
| "revision": "main", | |
| "private": false, | |
| "params": 2.73, | |
| "architectures": "LlamaForCausalLM", | |
| "quant_type": "AQLM", | |
| "precision": "2bit", | |
| "model_params": 6.48, | |
| "model_size": 2.73, | |
| "weight_dtype": "int2", | |
| "compute_dtype": "float16", | |
| "gguf_ftype": "*Q4_0.gguf", | |
| "hardware": "gpu", | |
| "status": "Waiting", | |
| "submitted_time": "2024-05-15T03:43:56Z", | |
| "model_type": "quantization", | |
| "job_id": -1, | |
| "job_start_time": null, | |
| "scripts": "ITREX" | |
| }, | |
| "quantization_config": { | |
| "in_group_size": 32, | |
| "linear_weights_not_to_quantize": [ | |
| "model.embed_tokens.weight", | |
| "lm_head.weight" | |
| ], | |
| "nbits_per_codebook": 8, | |
| "num_codebooks": 8, | |
| "out_group_size": 1, | |
| "quant_method": "aqlm" | |
| }, | |
| "versions": { | |
| "harness|openbookqa|0": 1.0, | |
| "harness|lambada:openai|0": 1.0, | |
| "harness|mmlu|0": null, | |
| "harness|mmlu_humanities|0": null, | |
| "harness|mmlu_formal_logic|0": 0.0, | |
| "harness|mmlu_high_school_european_history|0": 0.0, | |
| "harness|mmlu_high_school_us_history|0": 0.0, | |
| "harness|mmlu_high_school_world_history|0": 0.0, | |
| "harness|mmlu_international_law|0": 0.0, | |
| "harness|mmlu_jurisprudence|0": 0.0, | |
| "harness|mmlu_logical_fallacies|0": 0.0, | |
| "harness|mmlu_moral_disputes|0": 0.0, | |
| "harness|mmlu_moral_scenarios|0": 0.0, | |
| "harness|mmlu_philosophy|0": 0.0, | |
| "harness|mmlu_prehistory|0": 0.0, | |
| "harness|mmlu_professional_law|0": 0.0, | |
| "harness|mmlu_world_religions|0": 0.0, | |
| "harness|mmlu_other|0": null, | |
| "harness|mmlu_business_ethics|0": 0.0, | |
| "harness|mmlu_clinical_knowledge|0": 0.0, | |
| "harness|mmlu_college_medicine|0": 0.0, | |
| "harness|mmlu_global_facts|0": 0.0, | |
| "harness|mmlu_human_aging|0": 0.0, | |
| "harness|mmlu_management|0": 0.0, | |
| "harness|mmlu_marketing|0": 0.0, | |
| "harness|mmlu_medical_genetics|0": 0.0, | |
| "harness|mmlu_miscellaneous|0": 0.0, | |
| "harness|mmlu_nutrition|0": 0.0, | |
| "harness|mmlu_professional_accounting|0": 0.0, | |
| "harness|mmlu_professional_medicine|0": 0.0, | |
| "harness|mmlu_virology|0": 0.0, | |
| "harness|mmlu_social_sciences|0": null, | |
| "harness|mmlu_econometrics|0": 0.0, | |
| "harness|mmlu_high_school_geography|0": 0.0, | |
| "harness|mmlu_high_school_government_and_politics|0": 0.0, | |
| "harness|mmlu_high_school_macroeconomics|0": 0.0, | |
| "harness|mmlu_high_school_microeconomics|0": 0.0, | |
| "harness|mmlu_high_school_psychology|0": 0.0, | |
| "harness|mmlu_human_sexuality|0": 0.0, | |
| "harness|mmlu_professional_psychology|0": 0.0, | |
| "harness|mmlu_public_relations|0": 0.0, | |
| "harness|mmlu_security_studies|0": 0.0, | |
| "harness|mmlu_sociology|0": 0.0, | |
| "harness|mmlu_us_foreign_policy|0": 0.0, | |
| "harness|mmlu_stem|0": null, | |
| "harness|mmlu_abstract_algebra|0": 0.0, | |
| "harness|mmlu_anatomy|0": 0.0, | |
| "harness|mmlu_astronomy|0": 0.0, | |
| "harness|mmlu_college_biology|0": 0.0, | |
| "harness|mmlu_college_chemistry|0": 0.0, | |
| "harness|mmlu_college_computer_science|0": 0.0, | |
| "harness|mmlu_college_mathematics|0": 0.0, | |
| "harness|mmlu_college_physics|0": 0.0, | |
| "harness|mmlu_computer_security|0": 0.0, | |
| "harness|mmlu_conceptual_physics|0": 0.0, | |
| "harness|mmlu_electrical_engineering|0": 0.0, | |
| "harness|mmlu_elementary_mathematics|0": 0.0, | |
| "harness|mmlu_high_school_biology|0": 0.0, | |
| "harness|mmlu_high_school_chemistry|0": 0.0, | |
| "harness|mmlu_high_school_computer_science|0": 0.0, | |
| "harness|mmlu_high_school_mathematics|0": 0.0, | |
| "harness|mmlu_high_school_physics|0": 0.0, | |
| "harness|mmlu_high_school_statistics|0": 0.0, | |
| "harness|mmlu_machine_learning|0": 0.0, | |
| "harness|boolq|0": 2.0, | |
| "harness|truthfulqa:mc2|0": 2.0, | |
| "harness|arc:easy|0": 1.0, | |
| "harness|winogrande|0": 1.0, | |
| "harness|hellaswag|0": 1.0, | |
| "harness|piqa|0": 1.0, | |
| "harness|truthfulqa:mc1|0": 2.0, | |
| "harness|arc:challenge|0": 1.0 | |
| }, | |
| "n-shot": { | |
| "arc_challenge": 0, | |
| "arc_easy": 0, | |
| "boolq": 0, | |
| "hellaswag": 0, | |
| "lambada_openai": 0, | |
| "mmlu": 0, | |
| "mmlu_abstract_algebra": 0, | |
| "mmlu_anatomy": 0, | |
| "mmlu_astronomy": 0, | |
| "mmlu_business_ethics": 0, | |
| "mmlu_clinical_knowledge": 0, | |
| "mmlu_college_biology": 0, | |
| "mmlu_college_chemistry": 0, | |
| "mmlu_college_computer_science": 0, | |
| "mmlu_college_mathematics": 0, | |
| "mmlu_college_medicine": 0, | |
| "mmlu_college_physics": 0, | |
| "mmlu_computer_security": 0, | |
| "mmlu_conceptual_physics": 0, | |
| "mmlu_econometrics": 0, | |
| "mmlu_electrical_engineering": 0, | |
| "mmlu_elementary_mathematics": 0, | |
| "mmlu_formal_logic": 0, | |
| "mmlu_global_facts": 0, | |
| "mmlu_high_school_biology": 0, | |
| "mmlu_high_school_chemistry": 0, | |
| "mmlu_high_school_computer_science": 0, | |
| "mmlu_high_school_european_history": 0, | |
| "mmlu_high_school_geography": 0, | |
| "mmlu_high_school_government_and_politics": 0, | |
| "mmlu_high_school_macroeconomics": 0, | |
| "mmlu_high_school_mathematics": 0, | |
| "mmlu_high_school_microeconomics": 0, | |
| "mmlu_high_school_physics": 0, | |
| "mmlu_high_school_psychology": 0, | |
| "mmlu_high_school_statistics": 0, | |
| "mmlu_high_school_us_history": 0, | |
| "mmlu_high_school_world_history": 0, | |
| "mmlu_human_aging": 0, | |
| "mmlu_human_sexuality": 0, | |
| "mmlu_humanities": 0, | |
| "mmlu_international_law": 0, | |
| "mmlu_jurisprudence": 0, | |
| "mmlu_logical_fallacies": 0, | |
| "mmlu_machine_learning": 0, | |
| "mmlu_management": 0, | |
| "mmlu_marketing": 0, | |
| "mmlu_medical_genetics": 0, | |
| "mmlu_miscellaneous": 0, | |
| "mmlu_moral_disputes": 0, | |
| "mmlu_moral_scenarios": 0, | |
| "mmlu_nutrition": 0, | |
| "mmlu_other": 0, | |
| "mmlu_philosophy": 0, | |
| "mmlu_prehistory": 0, | |
| "mmlu_professional_accounting": 0, | |
| "mmlu_professional_law": 0, | |
| "mmlu_professional_medicine": 0, | |
| "mmlu_professional_psychology": 0, | |
| "mmlu_public_relations": 0, | |
| "mmlu_security_studies": 0, | |
| "mmlu_social_sciences": 0, | |
| "mmlu_sociology": 0, | |
| "mmlu_stem": 0, | |
| "mmlu_us_foreign_policy": 0, | |
| "mmlu_virology": 0, | |
| "mmlu_world_religions": 0, | |
| "openbookqa": 0, | |
| "piqa": 0, | |
| "truthfulqa_mc1": 0, | |
| "truthfulqa_mc2": 0, | |
| "winogrande": 0 | |
| }, | |
| "date": 1716130571.6830513, | |
| "config": { | |
| "model": "hf", | |
| "model_args": "pretrained=ISTA-DASLab/Llama-2-7b-AQLM-2Bit-8x8-hf,trust_remote_code=True,dtype=float16,_commit_hash=main", | |
| "batch_size": 4, | |
| "batch_sizes": [], | |
| "device": "cuda", | |
| "use_cache": null, | |
| "limit": null, | |
| "bootstrap_iters": 100000, | |
| "gen_kwargs": null | |
| } | |
| } |