{ "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": "2024-05-15-05-17-12", "total_evaluation_time_secondes": "", "model_name": "ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16", "model_sha": "", "model_dtype": "2bit", "model_size": 4.08, "model_params": 7, "quant_type": "AQLM", "precision": "2bit" }, "results": { "harness|arc:easy|0": { "acc,none": 0.7693602693602694, "acc_stderr,none": 0.008643708884504999, "acc_norm,none": 0.742003367003367, "acc_norm_stderr,none": 0.008977970005203405, "alias": "arc_easy" }, "harness|openbookqa|0": { "acc,none": 0.322, "acc_stderr,none": 0.020916668330019882, "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.021893529941665817, "alias": "openbookqa" }, "harness|truthfulqa:mc2|0": { "acc,none": 0.501517122289186, "acc_stderr,none": 0.015111724525572797, "alias": "truthfulqa_mc2" }, "harness|mmlu|0": { "acc,none": 0.5641646489104116, "acc_stderr,none": 0.0039754730963606965, "alias": "mmlu" }, "harness|mmlu_humanities|0": { "alias": " - humanities", "acc,none": 0.5175345377258236, "acc_stderr,none": 0.006842487140618199 }, "harness|mmlu_formal_logic|0": { "alias": " - formal_logic", "acc,none": 0.47619047619047616, "acc_stderr,none": 0.04467062628403273 }, "harness|mmlu_high_school_european_history|0": { "alias": " - high_school_european_history", "acc,none": 0.7272727272727273, "acc_stderr,none": 0.03477691162163659 }, "harness|mmlu_high_school_us_history|0": { "alias": " - high_school_us_history", "acc,none": 0.7450980392156863, "acc_stderr,none": 0.030587591351604246 }, "harness|mmlu_high_school_world_history|0": { "alias": " - high_school_world_history", "acc,none": 0.7468354430379747, "acc_stderr,none": 0.028304657943035293 }, "harness|mmlu_international_law|0": { "alias": " - international_law", "acc,none": 0.7024793388429752, "acc_stderr,none": 0.04173349148083499 }, "harness|mmlu_jurisprudence|0": { "alias": " - jurisprudence", "acc,none": 0.7037037037037037, "acc_stderr,none": 0.04414343666854933 }, "harness|mmlu_logical_fallacies|0": { "alias": " - logical_fallacies", "acc,none": 0.6871165644171779, "acc_stderr,none": 0.03642914578292405 }, "harness|mmlu_moral_disputes|0": { "alias": " - moral_disputes", "acc,none": 0.6416184971098265, "acc_stderr,none": 0.025816756791584204 }, "harness|mmlu_moral_scenarios|0": { "alias": " - moral_scenarios", "acc,none": 0.25251396648044694, "acc_stderr,none": 0.01453033020146865 }, "harness|mmlu_philosophy|0": { "alias": " - philosophy", "acc,none": 0.6591639871382636, "acc_stderr,none": 0.026920841260776155 }, "harness|mmlu_prehistory|0": { "alias": " - prehistory", "acc,none": 0.6450617283950617, "acc_stderr,none": 0.02662415247884585 }, "harness|mmlu_professional_law|0": { "alias": " - professional_law", "acc,none": 0.43415906127770537, "acc_stderr,none": 0.01265903323706725 }, "harness|mmlu_world_religions|0": { "alias": " - world_religions", "acc,none": 0.7309941520467836, "acc_stderr,none": 0.0340105262010409 }, "harness|mmlu_other|0": { "alias": " - other", "acc,none": 0.6501448342452526, "acc_stderr,none": 0.008324635072589546 }, "harness|mmlu_business_ethics|0": { "alias": " - business_ethics", "acc,none": 0.64, "acc_stderr,none": 0.04824181513244218 }, "harness|mmlu_clinical_knowledge|0": { "alias": " - clinical_knowledge", "acc,none": 0.6792452830188679, "acc_stderr,none": 0.02872750295788026 }, "harness|mmlu_college_medicine|0": { "alias": " - college_medicine", "acc,none": 0.5780346820809249, "acc_stderr,none": 0.0376574669386515 }, "harness|mmlu_global_facts|0": { "alias": " - global_facts", "acc,none": 0.38, "acc_stderr,none": 0.048783173121456316 }, "harness|mmlu_human_aging|0": { "alias": " - human_aging", "acc,none": 0.6457399103139013, "acc_stderr,none": 0.03210062154134987 }, "harness|mmlu_management|0": { "alias": " - management", "acc,none": 0.7669902912621359, "acc_stderr,none": 0.04185832598928315 }, "harness|mmlu_marketing|0": { "alias": " - marketing", "acc,none": 0.8247863247863247, "acc_stderr,none": 0.02490443909891822 }, "harness|mmlu_medical_genetics|0": { "alias": " - medical_genetics", "acc,none": 0.68, "acc_stderr,none": 0.046882617226215034 }, "harness|mmlu_miscellaneous|0": { "alias": " - miscellaneous", "acc,none": 0.7522349936143039, "acc_stderr,none": 0.015438083080568963 }, "harness|mmlu_nutrition|0": { "alias": " - nutrition", "acc,none": 0.6339869281045751, "acc_stderr,none": 0.027582811415159617 }, "harness|mmlu_professional_accounting|0": { "alias": " - professional_accounting", "acc,none": 0.4787234042553192, "acc_stderr,none": 0.029800481645628693 }, "harness|mmlu_professional_medicine|0": { "alias": " - professional_medicine", "acc,none": 0.5845588235294118, "acc_stderr,none": 0.029935342707877746 }, "harness|mmlu_virology|0": { "alias": " - virology", "acc,none": 0.463855421686747, "acc_stderr,none": 0.038823108508905954 }, "harness|mmlu_social_sciences|0": { "alias": " - social_sciences", "acc,none": 0.6499837504062398, "acc_stderr,none": 0.00839741312665264 }, "harness|mmlu_econometrics|0": { "alias": " - econometrics", "acc,none": 0.37719298245614036, "acc_stderr,none": 0.04559522141958216 }, "harness|mmlu_high_school_geography|0": { "alias": " - high_school_geography", "acc,none": 0.7222222222222222, "acc_stderr,none": 0.03191178226713547 }, "harness|mmlu_high_school_government_and_politics|0": { "alias": " - high_school_government_and_politics", "acc,none": 0.7772020725388601, "acc_stderr,none": 0.030031147977641538 }, "harness|mmlu_high_school_macroeconomics|0": { "alias": " - high_school_macroeconomics", "acc,none": 0.541025641025641, "acc_stderr,none": 0.025265525491284295 }, "harness|mmlu_high_school_microeconomics|0": { "alias": " - high_school_microeconomics", "acc,none": 0.5882352941176471, "acc_stderr,none": 0.031968769891957786 }, "harness|mmlu_high_school_psychology|0": { "alias": " - high_school_psychology", "acc,none": 0.7577981651376147, "acc_stderr,none": 0.01836817630659862 }, "harness|mmlu_human_sexuality|0": { "alias": " - human_sexuality", "acc,none": 0.7175572519083969, "acc_stderr,none": 0.03948406125768361 }, "harness|mmlu_professional_psychology|0": { "alias": " - professional_psychology", "acc,none": 0.5686274509803921, "acc_stderr,none": 0.020036393768352635 }, "harness|mmlu_public_relations|0": { "alias": " - public_relations", "acc,none": 0.6, "acc_stderr,none": 0.0469237132203465 }, "harness|mmlu_security_studies|0": { "alias": " - security_studies", "acc,none": 0.636734693877551, "acc_stderr,none": 0.030789051139030806 }, "harness|mmlu_sociology|0": { "alias": " - sociology", "acc,none": 0.7711442786069652, "acc_stderr,none": 0.029705284056772436 }, "harness|mmlu_us_foreign_policy|0": { "alias": " - us_foreign_policy", "acc,none": 0.81, "acc_stderr,none": 0.03942772444036624 }, "harness|mmlu_stem|0": { "alias": " - stem", "acc,none": 0.4652711703139867, "acc_stderr,none": 0.008646280447225355 }, "harness|mmlu_abstract_algebra|0": { "alias": " - abstract_algebra", "acc,none": 0.34, "acc_stderr,none": 0.04760952285695235 }, "harness|mmlu_anatomy|0": { "alias": " - anatomy", "acc,none": 0.5703703703703704, "acc_stderr,none": 0.04276349494376599 }, "harness|mmlu_astronomy|0": { "alias": " - astronomy", "acc,none": 0.5526315789473685, "acc_stderr,none": 0.04046336883978251 }, "harness|mmlu_college_biology|0": { "alias": " - college_biology", "acc,none": 0.6388888888888888, "acc_stderr,none": 0.04016660030451233 }, "harness|mmlu_college_chemistry|0": { "alias": " - college_chemistry", "acc,none": 0.36, "acc_stderr,none": 0.04824181513244218 }, "harness|mmlu_college_computer_science|0": { "alias": " - college_computer_science", "acc,none": 0.45, "acc_stderr,none": 0.05 }, "harness|mmlu_college_mathematics|0": { "alias": " - college_mathematics", "acc,none": 0.34, "acc_stderr,none": 0.04760952285695235 }, "harness|mmlu_college_physics|0": { "alias": " - college_physics", "acc,none": 0.3431372549019608, "acc_stderr,none": 0.04724007352383889 }, "harness|mmlu_computer_security|0": { "alias": " - computer_security", "acc,none": 0.71, "acc_stderr,none": 0.045604802157206845 }, "harness|mmlu_conceptual_physics|0": { "alias": " - conceptual_physics", "acc,none": 0.4425531914893617, "acc_stderr,none": 0.03246956919789958 }, "harness|mmlu_electrical_engineering|0": { "alias": " - electrical_engineering", "acc,none": 0.5241379310344828, "acc_stderr,none": 0.0416180850350153 }, "harness|mmlu_elementary_mathematics|0": { "alias": " - elementary_mathematics", "acc,none": 0.3941798941798942, "acc_stderr,none": 0.02516798233389414 }, "harness|mmlu_high_school_biology|0": { "alias": " - high_school_biology", "acc,none": 0.6741935483870968, "acc_stderr,none": 0.0266620105785671 }, "harness|mmlu_high_school_chemistry|0": { "alias": " - high_school_chemistry", "acc,none": 0.41379310344827586, "acc_stderr,none": 0.03465304488406796 }, "harness|mmlu_high_school_computer_science|0": { "alias": " - high_school_computer_science", "acc,none": 0.6, "acc_stderr,none": 0.049236596391733084 }, "harness|mmlu_high_school_mathematics|0": { "alias": " - high_school_mathematics", "acc,none": 0.3074074074074074, "acc_stderr,none": 0.028133252578815642 }, "harness|mmlu_high_school_physics|0": { "alias": " - high_school_physics", "acc,none": 0.4105960264900662, "acc_stderr,none": 0.04016689594849927 }, "harness|mmlu_high_school_statistics|0": { "alias": " - high_school_statistics", "acc,none": 0.41203703703703703, "acc_stderr,none": 0.03356787758160835 }, "harness|mmlu_machine_learning|0": { "alias": " - machine_learning", "acc,none": 0.38392857142857145, "acc_stderr,none": 0.04616143075028547 }, "harness|truthfulqa:mc1|0": { "acc,none": 0.33047735618115054, "acc_stderr,none": 0.016466769613698314, "alias": "truthfulqa_mc1" }, "harness|boolq|0": { "acc,none": 0.8033639143730887, "acc_stderr,none": 0.006951528536402847, "alias": "boolq" }, "harness|piqa|0": { "acc,none": 0.7742110990206746, "acc_stderr,none": 0.00975498067091734, "acc_norm,none": 0.7731229597388466, "acc_norm_stderr,none": 0.009771584259215153, "alias": "piqa" }, "harness|arc:challenge|0": { "acc,none": 0.45819112627986347, "acc_stderr,none": 0.014560220308714697, "acc_norm,none": 0.49146757679180886, "acc_norm_stderr,none": 0.014609263165632191, "alias": "arc_challenge" }, "harness|hellaswag|0": { "acc,none": 0.5487950607448715, "acc_stderr,none": 0.004965963647210322, "acc_norm,none": 0.7263493328022307, "acc_norm_stderr,none": 0.0044492062959223195, "alias": "hellaswag" }, "harness|winogrande|0": { "acc,none": 0.696921862667719, "acc_stderr,none": 0.01291672746263447, "alias": "winogrande" }, "harness|lambada:openai|0": { "perplexity,none": 3.721237013130463, "perplexity_stderr,none": 0.0953372165080242, "acc,none": 0.6904715699592471, "acc_stderr,none": 0.006440732259116663, "alias": "lambada_openai" } }, "task_info": { "model": "ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16", "revision": "main", "private": false, "params": 7, "architectures": "LlamaForCausalLM", "quant_type": "AQLM", "precision": "2bit", "model_params": 7, "model_size": 4.08, "weight_dtype": "int2", "compute_dtype": "float16", "gguf_ftype": "*Q4_0.gguf", "hardware": "gpu", "status": "Waiting", "submitted_time": "2024-05-13T11:54:45Z", "model_type": "quantization", "job_id": -1, "job_start_time": null, "scripts": "ITREX" }, "quantization_config": { "in_group_size": 8, "linear_weights_not_to_quantize": [ "model.layers.0.input_layernorm.weight", "model.layers.0.post_attention_layernorm.weight", "model.layers.1.input_layernorm.weight", "model.layers.1.post_attention_layernorm.weight", "model.layers.2.input_layernorm.weight", "model.layers.2.post_attention_layernorm.weight", "model.layers.3.input_layernorm.weight", "model.layers.3.post_attention_layernorm.weight", "model.layers.4.input_layernorm.weight", "model.layers.4.post_attention_layernorm.weight", "model.layers.5.input_layernorm.weight", "model.layers.5.post_attention_layernorm.weight", "model.layers.6.input_layernorm.weight", "model.layers.6.post_attention_layernorm.weight", "model.layers.7.input_layernorm.weight", "model.layers.7.post_attention_layernorm.weight", "model.layers.8.input_layernorm.weight", "model.layers.8.post_attention_layernorm.weight", "model.layers.9.input_layernorm.weight", "model.layers.9.post_attention_layernorm.weight", "model.layers.10.input_layernorm.weight", "model.layers.10.post_attention_layernorm.weight", "model.layers.11.input_layernorm.weight", "model.layers.11.post_attention_layernorm.weight", "model.layers.12.input_layernorm.weight", "model.layers.12.post_attention_layernorm.weight", "model.layers.13.input_layernorm.weight", "model.layers.13.post_attention_layernorm.weight", "model.layers.14.input_layernorm.weight", "model.layers.14.post_attention_layernorm.weight", "model.layers.15.input_layernorm.weight", "model.layers.15.post_attention_layernorm.weight", "model.layers.16.input_layernorm.weight", "model.layers.16.post_attention_layernorm.weight", "model.layers.17.input_layernorm.weight", "model.layers.17.post_attention_layernorm.weight", "model.layers.18.input_layernorm.weight", "model.layers.18.post_attention_layernorm.weight", "model.layers.19.input_layernorm.weight", "model.layers.19.post_attention_layernorm.weight", "model.layers.20.input_layernorm.weight", "model.layers.20.post_attention_layernorm.weight", "model.layers.21.input_layernorm.weight", "model.layers.21.post_attention_layernorm.weight", "model.layers.22.input_layernorm.weight", "model.layers.22.post_attention_layernorm.weight", "model.layers.23.input_layernorm.weight", "model.layers.23.post_attention_layernorm.weight", "model.layers.24.input_layernorm.weight", "model.layers.24.post_attention_layernorm.weight", "model.layers.25.input_layernorm.weight", "model.layers.25.post_attention_layernorm.weight", "model.layers.26.input_layernorm.weight", "model.layers.26.post_attention_layernorm.weight", "model.layers.27.input_layernorm.weight", "model.layers.27.post_attention_layernorm.weight", "model.layers.28.input_layernorm.weight", "model.layers.28.post_attention_layernorm.weight", "model.layers.29.input_layernorm.weight", "model.layers.29.post_attention_layernorm.weight", "model.layers.30.input_layernorm.weight", "model.layers.30.post_attention_layernorm.weight", "model.layers.31.input_layernorm.weight", "model.layers.31.post_attention_layernorm.weight", "model.embed_tokens.weight", "model.norm.weight", "lm_head.weight" ], "nbits_per_codebook": 16, "num_codebooks": 1, "out_group_size": 1, "quant_method": "aqlm" }, "versions": { "harness|arc:easy|0": 1.0, "harness|openbookqa|0": 1.0, "harness|truthfulqa:mc2|0": 2.0, "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|truthfulqa:mc1|0": 2.0, "harness|boolq|0": 2.0, "harness|piqa|0": 1.0, "harness|arc:challenge|0": 1.0, "harness|hellaswag|0": 1.0, "harness|winogrande|0": 1.0, "harness|lambada:openai|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": 1715715118.262416, "config": { "model": "hf", "model_args": "pretrained=ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16,trust_remote_code=True,dtype=float16,_commit_hash=main", "batch_size": 2, "batch_sizes": [], "device": "cuda", "use_cache": null, "limit": null, "bootstrap_iters": 100000, "gen_kwargs": null } }