diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
index 12a5260b212456dcf2c68f15e92274bb293fa859..5bea6cf6e51d8ba3c7d93ec27f4f7813474b9175 100644
--- a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -1,14 +1,14 @@
 {
   "results": {
     "mmlu": {
-      "acc,none": 0.33107819398946015,
-      "acc_stderr,none": 0.06027611346350394,
+      "acc,none": 0.33086454920951425,
+      "acc_stderr,none": 0.060605075693583886,
       "alias": "mmlu"
     },
     "mmlu_humanities": {
       "alias": " - humanities",
-      "acc,none": 0.32561105207226354,
-      "acc_stderr,none": 0.05639800096282077
+      "acc,none": 0.32561105207226343,
+      "acc_stderr,none": 0.0607809456258765
     },
     "mmlu_formal_logic": {
       "alias": "  - formal_logic",
@@ -27,8 +27,8 @@
     },
     "mmlu_high_school_world_history": {
       "alias": "  - high_school_world_history",
-      "acc,none": 0.43037974683544306,
-      "acc_stderr,none": 0.03223017195937598
+      "acc,none": 0.42616033755274263,
+      "acc_stderr,none": 0.03219035703131774
     },
     "mmlu_international_law": {
       "alias": "  - international_law",
@@ -38,7 +38,7 @@
     "mmlu_jurisprudence": {
       "alias": "  - jurisprudence",
       "acc,none": 0.32407407407407407,
-      "acc_stderr,none": 0.04524596007030048
+      "acc_stderr,none": 0.04524596007030049
     },
     "mmlu_logical_fallacies": {
       "alias": "  - logical_fallacies",
@@ -48,52 +48,52 @@
     "mmlu_moral_disputes": {
       "alias": "  - moral_disputes",
       "acc,none": 0.315028901734104,
-      "acc_stderr,none": 0.025009313790069713
+      "acc_stderr,none": 0.025009313790069706
     },
     "mmlu_moral_scenarios": {
       "alias": "  - moral_scenarios",
       "acc,none": 0.2346368715083799,
-      "acc_stderr,none": 0.014173044098303667
+      "acc_stderr,none": 0.014173044098303679
     },
     "mmlu_philosophy": {
       "alias": "  - philosophy",
       "acc,none": 0.3987138263665595,
-      "acc_stderr,none": 0.027809322585774503
+      "acc_stderr,none": 0.0278093225857745
     },
     "mmlu_prehistory": {
       "alias": "  - prehistory",
-      "acc,none": 0.3611111111111111,
-      "acc_stderr,none": 0.026725868809100793
+      "acc,none": 0.36419753086419754,
+      "acc_stderr,none": 0.026774929899722327
     },
     "mmlu_professional_law": {
       "alias": "  - professional_law",
       "acc,none": 0.3011734028683181,
-      "acc_stderr,none": 0.011717148751648431
+      "acc_stderr,none": 0.011717148751648424
     },
     "mmlu_world_religions": {
       "alias": "  - world_religions",
       "acc,none": 0.391812865497076,
-      "acc_stderr,none": 0.03743979825926398
+      "acc_stderr,none": 0.037439798259264
     },
     "mmlu_other": {
       "alias": " - other",
-      "acc,none": 0.36594785967170906,
-      "acc_stderr,none": 0.053480370251406284
+      "acc,none": 0.3662697135500483,
+      "acc_stderr,none": 0.049834862065929936
     },
     "mmlu_business_ethics": {
       "alias": "  - business_ethics",
       "acc,none": 0.33,
-      "acc_stderr,none": 0.04725815626252604
+      "acc_stderr,none": 0.047258156262526045
     },
     "mmlu_clinical_knowledge": {
       "alias": "  - clinical_knowledge",
       "acc,none": 0.37358490566037733,
-      "acc_stderr,none": 0.029773082713319878
+      "acc_stderr,none": 0.02977308271331987
     },
     "mmlu_college_medicine": {
       "alias": "  - college_medicine",
       "acc,none": 0.27167630057803466,
-      "acc_stderr,none": 0.0339175032232166
+      "acc_stderr,none": 0.03391750322321659
     },
     "mmlu_global_facts": {
       "alias": "  - global_facts",
@@ -118,42 +118,42 @@
     "mmlu_medical_genetics": {
       "alias": "  - medical_genetics",
       "acc,none": 0.33,
-      "acc_stderr,none": 0.04725815626252605
+      "acc_stderr,none": 0.04725815626252604
     },
     "mmlu_miscellaneous": {
       "alias": "  - miscellaneous",
       "acc,none": 0.4367816091954023,
-      "acc_stderr,none": 0.017736470837800694
+      "acc_stderr,none": 0.017736470837800687
     },
     "mmlu_nutrition": {
       "alias": "  - nutrition",
-      "acc,none": 0.3235294117647059,
-      "acc_stderr,none": 0.026787453111906532
+      "acc,none": 0.3202614379084967,
+      "acc_stderr,none": 0.02671611838015685
     },
     "mmlu_professional_accounting": {
       "alias": "  - professional_accounting",
       "acc,none": 0.2624113475177305,
-      "acc_stderr,none": 0.026244920349843014
+      "acc_stderr,none": 0.026244920349843007
     },
     "mmlu_professional_medicine": {
       "alias": "  - professional_medicine",
       "acc,none": 0.35294117647058826,
-      "acc_stderr,none": 0.029029422815681393
+      "acc_stderr,none": 0.029029422815681397
     },
     "mmlu_virology": {
       "alias": "  - virology",
-      "acc,none": 0.3373493975903614,
-      "acc_stderr,none": 0.03680783690727581
+      "acc,none": 0.3493975903614458,
+      "acc_stderr,none": 0.037117251907407486
     },
     "mmlu_social_sciences": {
       "alias": " - social_sciences",
-      "acc,none": 0.3539161520961976,
-      "acc_stderr,none": 0.05088692905481045
+      "acc,none": 0.35294117647058826,
+      "acc_stderr,none": 0.04972757753075276
     },
     "mmlu_econometrics": {
       "alias": "  - econometrics",
       "acc,none": 0.23684210526315788,
-      "acc_stderr,none": 0.039994238792813365
+      "acc_stderr,none": 0.03999423879281337
     },
     "mmlu_high_school_geography": {
       "alias": "  - high_school_geography",
@@ -163,22 +163,22 @@
     "mmlu_high_school_government_and_politics": {
       "alias": "  - high_school_government_and_politics",
       "acc,none": 0.45077720207253885,
-      "acc_stderr,none": 0.035909109522355244
+      "acc_stderr,none": 0.03590910952235523
     },
     "mmlu_high_school_macroeconomics": {
       "alias": "  - high_school_macroeconomics",
-      "acc,none": 0.31025641025641026,
-      "acc_stderr,none": 0.023454674889404288
+      "acc,none": 0.3076923076923077,
+      "acc_stderr,none": 0.023400928918310495
     },
     "mmlu_high_school_microeconomics": {
       "alias": "  - high_school_microeconomics",
       "acc,none": 0.31512605042016806,
-      "acc_stderr,none": 0.03017680828897434
+      "acc_stderr,none": 0.030176808288974337
     },
     "mmlu_high_school_psychology": {
       "alias": "  - high_school_psychology",
-      "acc,none": 0.3779816513761468,
-      "acc_stderr,none": 0.02078918706672811
+      "acc,none": 0.3761467889908257,
+      "acc_stderr,none": 0.02076923196820508
     },
     "mmlu_human_sexuality": {
       "alias": "  - human_sexuality",
@@ -188,17 +188,17 @@
     "mmlu_professional_psychology": {
       "alias": "  - professional_psychology",
       "acc,none": 0.3284313725490196,
-      "acc_stderr,none": 0.018999707383162673
+      "acc_stderr,none": 0.018999707383162666
     },
     "mmlu_public_relations": {
       "alias": "  - public_relations",
       "acc,none": 0.39090909090909093,
-      "acc_stderr,none": 0.04673752333670238
+      "acc_stderr,none": 0.04673752333670239
     },
     "mmlu_security_studies": {
       "alias": "  - security_studies",
       "acc,none": 0.3224489795918367,
-      "acc_stderr,none": 0.02992310056368391
+      "acc_stderr,none": 0.029923100563683906
     },
     "mmlu_sociology": {
       "alias": "  - sociology",
@@ -207,18 +207,18 @@
     },
     "mmlu_us_foreign_policy": {
       "alias": "  - us_foreign_policy",
-      "acc,none": 0.44,
-      "acc_stderr,none": 0.049888765156985884
+      "acc,none": 0.43,
+      "acc_stderr,none": 0.049756985195624284
     },
     "mmlu_stem": {
       "alias": " - stem",
-      "acc,none": 0.2825880114176974,
-      "acc_stderr,none": 0.06156202921470587
+      "acc,none": 0.28227085315572464,
+      "acc_stderr,none": 0.060616974885657864
     },
     "mmlu_abstract_algebra": {
       "alias": "  - abstract_algebra",
       "acc,none": 0.27,
-      "acc_stderr,none": 0.0446196043338474
+      "acc_stderr,none": 0.044619604333847394
     },
     "mmlu_anatomy": {
       "alias": "  - anatomy",
@@ -228,7 +228,7 @@
     "mmlu_astronomy": {
       "alias": "  - astronomy",
       "acc,none": 0.26973684210526316,
-      "acc_stderr,none": 0.036117805602848975
+      "acc_stderr,none": 0.03611780560284898
     },
     "mmlu_college_biology": {
       "alias": "  - college_biology",
@@ -238,12 +238,12 @@
     "mmlu_college_chemistry": {
       "alias": "  - college_chemistry",
       "acc,none": 0.32,
-      "acc_stderr,none": 0.04688261722621505
+      "acc_stderr,none": 0.04688261722621504
     },
     "mmlu_college_computer_science": {
       "alias": "  - college_computer_science",
       "acc,none": 0.19,
-      "acc_stderr,none": 0.039427724440366234
+      "acc_stderr,none": 0.03942772444036625
     },
     "mmlu_college_mathematics": {
       "alias": "  - college_mathematics",
@@ -253,37 +253,37 @@
     "mmlu_college_physics": {
       "alias": "  - college_physics",
       "acc,none": 0.22549019607843138,
-      "acc_stderr,none": 0.04158307533083286
+      "acc_stderr,none": 0.041583075330832865
     },
     "mmlu_computer_security": {
       "alias": "  - computer_security",
       "acc,none": 0.28,
-      "acc_stderr,none": 0.045126085985421276
+      "acc_stderr,none": 0.04512608598542126
     },
     "mmlu_conceptual_physics": {
       "alias": "  - conceptual_physics",
       "acc,none": 0.3659574468085106,
-      "acc_stderr,none": 0.03148955829745528
+      "acc_stderr,none": 0.0314895582974553
     },
     "mmlu_electrical_engineering": {
       "alias": "  - electrical_engineering",
       "acc,none": 0.2827586206896552,
-      "acc_stderr,none": 0.03752833958003336
+      "acc_stderr,none": 0.03752833958003337
     },
     "mmlu_elementary_mathematics": {
       "alias": "  - elementary_mathematics",
       "acc,none": 0.2619047619047619,
-      "acc_stderr,none": 0.022644212615525214
+      "acc_stderr,none": 0.022644212615525218
     },
     "mmlu_high_school_biology": {
       "alias": "  - high_school_biology",
       "acc,none": 0.3967741935483871,
-      "acc_stderr,none": 0.02783123160576794
+      "acc_stderr,none": 0.027831231605767937
     },
     "mmlu_high_school_chemistry": {
       "alias": "  - high_school_chemistry",
-      "acc,none": 0.2955665024630542,
-      "acc_stderr,none": 0.032104944337514575
+      "acc,none": 0.29064039408866993,
+      "acc_stderr,none": 0.03194740072265541
     },
     "mmlu_high_school_computer_science": {
       "alias": "  - high_school_computer_science",
@@ -293,12 +293,12 @@
     "mmlu_high_school_mathematics": {
       "alias": "  - high_school_mathematics",
       "acc,none": 0.24814814814814815,
-      "acc_stderr,none": 0.026335739404055803
+      "acc_stderr,none": 0.0263357394040558
     },
     "mmlu_high_school_physics": {
       "alias": "  - high_school_physics",
       "acc,none": 0.23841059602649006,
-      "acc_stderr,none": 0.0347918557259966
+      "acc_stderr,none": 0.034791855725996586
     },
     "mmlu_high_school_statistics": {
       "alias": "  - high_school_statistics",
@@ -308,34 +308,34 @@
     "mmlu_machine_learning": {
       "alias": "  - machine_learning",
       "acc,none": 0.2767857142857143,
-      "acc_stderr,none": 0.04246624336697624
+      "acc_stderr,none": 0.042466243366976256
     }
   },
   "groups": {
     "mmlu": {
-      "acc,none": 0.33107819398946015,
-      "acc_stderr,none": 0.06027611346350394,
+      "acc,none": 0.33086454920951425,
+      "acc_stderr,none": 0.060605075693583886,
       "alias": "mmlu"
     },
     "mmlu_humanities": {
       "alias": " - humanities",
-      "acc,none": 0.32561105207226354,
-      "acc_stderr,none": 0.05639800096282077
+      "acc,none": 0.32561105207226343,
+      "acc_stderr,none": 0.0607809456258765
     },
     "mmlu_other": {
       "alias": " - other",
-      "acc,none": 0.36594785967170906,
-      "acc_stderr,none": 0.053480370251406284
+      "acc,none": 0.3662697135500483,
+      "acc_stderr,none": 0.049834862065929936
     },
     "mmlu_social_sciences": {
       "alias": " - social_sciences",
-      "acc,none": 0.3539161520961976,
-      "acc_stderr,none": 0.05088692905481045
+      "acc,none": 0.35294117647058826,
+      "acc_stderr,none": 0.04972757753075276
     },
     "mmlu_stem": {
       "alias": " - stem",
-      "acc,none": 0.2825880114176974,
-      "acc_stderr,none": 0.06156202921470587
+      "acc,none": 0.28227085315572464,
+      "acc_stderr,none": 0.060616974885657864
     }
   },
   "configs": {
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
index 025f56d06b912b46b4edd2a070671279cadd4a2b..8aac040d7617155baef993d329cefb2caa3c2c6e 100644
--- a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:189db053f672abcdc9c097a35a4d7ee5550b59e0693aeefdda6d580ca423d572
-size 109501
+oid sha256:3b745b9a5577b37b71c88189c4f90a73351adea728c6e8c393479fe62176e823
+size 149131
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf67dde624afe622836fbc105a36d3326fa3310d
--- /dev/null
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -0,0 +1,429 @@
+{
+  "results": {
+    "multimedqa": {
+      "alias": "stem",
+      "acc,none": 0.35358410220014197,
+      "acc_stderr,none": 0.09857919062749855,
+      "acc_norm,none": 0.32068854393146246,
+      "acc_norm_stderr,none": 0.00010226000674634883
+    },
+    "medmcqa": {
+      "acc,none": 0.3265598852498207,
+      "acc_stderr,none": 0.007251684390085926,
+      "acc_norm,none": 0.3265598852498207,
+      "acc_norm_stderr,none": 0.007251684390085926,
+      "alias": " - medmcqa"
+    },
+    "medqa_4options": {
+      "acc,none": 0.3102906520031422,
+      "acc_stderr,none": 0.012971011562150579,
+      "acc_norm,none": 0.3102906520031422,
+      "acc_norm_stderr,none": 0.012971011562150579,
+      "alias": " - medqa_4options"
+    },
+    "mmlu_anatomy": {
+      "alias": " - anatomy (mmlu)",
+      "acc,none": 0.34814814814814815,
+      "acc_stderr,none": 0.041153246103369526
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": " - clinical_knowledge (mmlu)",
+      "acc,none": 0.3660377358490566,
+      "acc_stderr,none": 0.029647813539365256
+    },
+    "mmlu_college_biology": {
+      "alias": " - college_biology (mmlu)",
+      "acc,none": 0.3263888888888889,
+      "acc_stderr,none": 0.03921067198982266
+    },
+    "mmlu_college_medicine": {
+      "alias": " - college_medicine (mmlu)",
+      "acc,none": 0.27167630057803466,
+      "acc_stderr,none": 0.0339175032232166
+    },
+    "mmlu_medical_genetics": {
+      "alias": " - medical_genetics (mmlu)",
+      "acc,none": 0.31,
+      "acc_stderr,none": 0.04648231987117316
+    },
+    "mmlu_professional_medicine": {
+      "alias": " - professional_medicine (mmlu)",
+      "acc,none": 0.35294117647058826,
+      "acc_stderr,none": 0.029029422815681393
+    },
+    "pubmedqa": {
+      "acc,none": 0.73,
+      "acc_stderr,none": 0.019874354831287473,
+      "alias": " - pubmedqa"
+    }
+  },
+  "groups": {
+    "multimedqa": {
+      "alias": "stem",
+      "acc,none": 0.35358410220014197,
+      "acc_stderr,none": 0.09857919062749855,
+      "acc_norm,none": 0.32068854393146246,
+      "acc_norm_stderr,none": 0.00010226000674634883
+    }
+  },
+  "configs": {
+    "medmcqa": {
+      "task": "medmcqa",
+      "dataset_path": "medmcqa",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "validation",
+      "doc_to_text": "def doc_to_text(doc) -> str:\n    \"\"\"\n    Question: <question>\n    Choices:\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    Answer:\n    \"\"\"\n    choices = [doc[\"opa\"], doc[\"opb\"], doc[\"opc\"], doc[\"opd\"]]\n    option_choices = {'A': choices[0], 'B': choices[1], 'C': choices[2], 'D': choices[3]}\n\n    prompt = \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n    for choice, option in option_choices.items():\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "cop",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}"
+    },
+    "medqa_4options": {
+      "task": "medqa_4options",
+      "dataset_path": "GBaker/MedQA-USMLE-4-options-hf",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text(doc) -> str:\n    option_choices = {'A': doc[\"ending0\"], 'B': doc[\"ending1\"], 'C': doc[\"ending2\"], 'D': doc[\"ending3\"]}\n    answers = \"\".join((f\"{k}. {v}\\n\") for k, v in option_choices.items())\n    return f\"Question: {doc['sent1']}\\n{answers}Answer:\"\n",
+      "doc_to_target": "def doc_to_target(doc) -> int:\n    return doc[\"label\"]\n",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false
+    },
+    "mmlu_anatomy": {
+      "task": "mmlu_anatomy",
+      "task_alias": "anatomy (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "stem",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "anatomy",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "mmlu_clinical_knowledge": {
+      "task": "mmlu_clinical_knowledge",
+      "task_alias": "clinical_knowledge (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "other",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "clinical_knowledge",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "mmlu_college_biology": {
+      "task": "mmlu_college_biology",
+      "task_alias": "college_biology (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "stem",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "college_biology",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about college biology.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "mmlu_college_medicine": {
+      "task": "mmlu_college_medicine",
+      "task_alias": "college_medicine (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "other",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "college_medicine",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about college medicine.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "mmlu_medical_genetics": {
+      "task": "mmlu_medical_genetics",
+      "task_alias": "medical_genetics (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "other",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "medical_genetics",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "mmlu_professional_medicine": {
+      "task": "mmlu_professional_medicine",
+      "task_alias": "professional_medicine (mmlu)",
+      "group": "multimedqa",
+      "group_alias": "other",
+      "dataset_path": "hails/mmlu_no_train",
+      "dataset_name": "professional_medicine",
+      "test_split": "test",
+      "fewshot_split": "dev",
+      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
+      "doc_to_target": "answer",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "pubmedqa": {
+      "task": "pubmedqa",
+      "dataset_path": "bigbio/pubmed_qa",
+      "dataset_name": "pubmed_qa_labeled_fold0_source",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text(doc) -> str:\n    ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n    return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n        ctxs,\n        doc[\"QUESTION\"],\n    )\n",
+      "doc_to_target": "final_decision",
+      "doc_to_choice": [
+        "yes",
+        "no",
+        "maybe"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "medmcqa": "Yaml",
+    "medqa_4options": "Yaml",
+    "mmlu_anatomy": 0.0,
+    "mmlu_clinical_knowledge": 0.0,
+    "mmlu_college_biology": 0.0,
+    "mmlu_college_medicine": 0.0,
+    "mmlu_medical_genetics": 0.0,
+    "mmlu_professional_medicine": 0.0,
+    "multimedqa": "N/A",
+    "pubmedqa": 1.0
+  },
+  "n-shot": {
+    "medmcqa": 0,
+    "medqa_4options": 0,
+    "mmlu_anatomy": 0,
+    "mmlu_clinical_knowledge": 0,
+    "mmlu_college_biology": 0,
+    "mmlu_college_medicine": 0,
+    "mmlu_medical_genetics": 0,
+    "mmlu_professional_medicine": 0,
+    "multimedqa": 0,
+    "pubmedqa": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      16
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
\ No newline at end of file
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
new file mode 100644
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+size 60906
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2790b7003acce36c3c771851a13c67822e663b1d
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@@ -0,0 +1,58 @@
+{
+  "results": {
+    "multirc": {
+      "acc,none": 0.49257425742574257,
+      "acc_stderr,none": 0.007181011029317661,
+      "alias": "multirc"
+    }
+  },
+  "configs": {
+    "multirc": {
+      "task": "multirc",
+      "group": [
+        "super-glue-lm-eval-v1"
+      ],
+      "dataset_path": "super_glue",
+      "dataset_name": "multirc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "{{paragraph}}\nQuestion: {{question}}\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": "['''{{answer}}\\nIs the answer correct? yes''', '''{{answer}}\\nIs the answer correct? no''']",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc"
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 2.0
+      }
+    }
+  },
+  "versions": {
+    "multirc": 2.0
+  },
+  "n-shot": {
+    "multirc": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
\ No newline at end of file
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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+size 47571
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
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@@ -0,0 +1,74 @@
+{
+  "results": {
+    "mutual": {
+      "r@1,none": 0.22573363431151242,
+      "r@1_stderr,none": 0.014053085820407473,
+      "r@2,none": 0.4221218961625282,
+      "r@2_stderr,none": 0.01660219170551757,
+      "mrr,none": 0.7004326577582155,
+      "mrr_stderr,none": 0.010311480723006769,
+      "alias": "mutual"
+    }
+  },
+  "configs": {
+    "mutual": {
+      "task": "mutual",
+      "dataset_path": "EleutherAI/mutual",
+      "dataset_name": "mutual",
+      "training_split": "train",
+      "validation_split": "validation",
+      "process_docs": "def process_docs(dataset):\n    def _detokenize(text):\n        text = text.replace(\" '\", \"'\")\n        text = text.replace(\" \\n\", \"\\n\")\n        text = text.replace(\"\\n \", \"\\n\")\n        text = text.replace(\" n't\", \"n't\")\n        text = text.replace(\"`` \", '\"')\n        text = text.replace(\"''\", '\"')\n        # punctuation\n        text = text.replace(\" :\", \":\")\n        text = text.replace(\" ;\", \";\")\n        text = text.replace(\" !\", \"!\")\n        text = text.replace(\" ?\", \"?\")\n        text = text.replace(\" ,\", \",\")\n        text = text.replace(\" .\", \".\")\n        return text\n\n    def _process(doc):\n        return {\n            \"article\": _detokenize(doc[\"article\"]),\n            \"options\": [_detokenize(option) for option in doc[\"options\"]],\n        }\n\n    return dataset.map(_process)\n",
+      "doc_to_text": "{{article}}",
+      "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answers)}}",
+      "doc_to_choice": "{{options}}",
+      "process_results": "def process_results(doc, results):\n    gold = [\"A\", \"B\", \"C\", \"D\"].index(doc[\"answers\"])\n    r4_1 = np.argmax(results) == gold  # r4_1 = accuracy\n    ranks = sorted(results, reverse=True)\n    r4_2 = (ranks.index(results[gold]) == 1) + r4_1\n    mrr = 1.0 / (ranks.index(results[gold]) + 1)  # `+ 1` for index offset\n    return {\"r@1\": r4_1, \"r@2\": r4_2, \"mrr\": mrr}\n",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "r@1",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "r@2",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "mrr",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{article}}",
+      "metadata": {
+        "version": 2.0
+      }
+    }
+  },
+  "versions": {
+    "mutual": 2.0
+  },
+  "n-shot": {
+    "mutual": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..41ac18e5d6e9b1d528df94e5fa110ba00c5fe4f5
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+{
+  "results": {
+    "mutual_plus": {
+      "r@1,none": 0.2595936794582393,
+      "r@1_stderr,none": 0.014737047402750952,
+      "r@2,none": 0.463882618510158,
+      "r@2_stderr,none": 0.016763409667403396,
+      "mrr,none": 0.6583897683676962,
+      "mrr_stderr,none": 0.010460590295448532,
+      "alias": "mutual_plus"
+    }
+  },
+  "configs": {
+    "mutual_plus": {
+      "task": "mutual_plus",
+      "dataset_path": "EleutherAI/mutual",
+      "dataset_name": "mutual_plus",
+      "training_split": "train",
+      "validation_split": "validation",
+      "process_docs": "def process_docs(dataset):\n    def _detokenize(text):\n        text = text.replace(\" '\", \"'\")\n        text = text.replace(\" \\n\", \"\\n\")\n        text = text.replace(\"\\n \", \"\\n\")\n        text = text.replace(\" n't\", \"n't\")\n        text = text.replace(\"`` \", '\"')\n        text = text.replace(\"''\", '\"')\n        # punctuation\n        text = text.replace(\" :\", \":\")\n        text = text.replace(\" ;\", \";\")\n        text = text.replace(\" !\", \"!\")\n        text = text.replace(\" ?\", \"?\")\n        text = text.replace(\" ,\", \",\")\n        text = text.replace(\" .\", \".\")\n        return text\n\n    def _process(doc):\n        return {\n            \"article\": _detokenize(doc[\"article\"]),\n            \"options\": [_detokenize(option) for option in doc[\"options\"]],\n        }\n\n    return dataset.map(_process)\n",
+      "doc_to_text": "{{article}}",
+      "doc_to_target": "{{['A', 'B', 'C', 'D'].index(answers)}}",
+      "doc_to_choice": "{{options}}",
+      "process_results": "def process_results(doc, results):\n    gold = [\"A\", \"B\", \"C\", \"D\"].index(doc[\"answers\"])\n    r4_1 = np.argmax(results) == gold  # r4_1 = accuracy\n    ranks = sorted(results, reverse=True)\n    r4_2 = (ranks.index(results[gold]) == 1) + r4_1\n    mrr = 1.0 / (ranks.index(results[gold]) + 1)  # `+ 1` for index offset\n    return {\"r@1\": r4_1, \"r@2\": r4_2, \"mrr\": mrr}\n",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "r@1",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "r@2",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "mrr",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{article}}",
+      "metadata": {
+        "version": 2.0
+      }
+    }
+  },
+  "versions": {
+    "mutual_plus": 2.0
+  },
+  "n-shot": {
+    "mutual_plus": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
\ No newline at end of file
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
new file mode 100644
index 0000000000000000000000000000000000000000..10db45280d8d1e04f0689827f390802b0140ac50
--- /dev/null
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc89a5e0d37c1e4a95893062aedb50b98b09cbc1dfd53bfdf254d430d07f1136
+size 51801
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
index 3e75d819f45048de66e7f53d3de582881d6f7472..741307ab3762d55525e84fd5f09b76523dfb3e15 100644
--- a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f7f76bc2192c6bea2186fcf369021fe26d059fb40bce57661c93362607523d2
-size 43659
+oid sha256:4779f4c23626f1749c089a7511a0da837ac7867f558dc956def2ec1d09b5433f
+size 42146
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..705347f83264a0e2c370993616961f3a717b91d1
--- /dev/null
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -0,0 +1,63 @@
+{
+  "results": {
+    "prost": {
+      "acc,none": 0.24338172502134928,
+      "acc_stderr,none": 0.0031351299519620946,
+      "acc_norm,none": 0.28031596925704527,
+      "acc_norm_stderr,none": 0.0032814667207950675,
+      "alias": "prost"
+    }
+  },
+  "configs": {
+    "prost": {
+      "task": "prost",
+      "dataset_path": "corypaik/prost",
+      "test_split": "test",
+      "doc_to_text": "{{context}}\nQuestion: {{ex_question}}\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": "{{[A, B, C, D]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{context}}\nQuestion: {{ex_question}}\nAnswer:",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "prost": 1.0
+  },
+  "n-shot": {
+    "prost": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
\ No newline at end of file
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
new file mode 100644
index 0000000000000000000000000000000000000000..6c1753deb47372126058fee8c362405d4d0ad9e1
--- /dev/null
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:582e4b78a9101bacc705ef1d09c098d5830bfe561bca7e4b45fa7063f0933e08
+size 53887
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..28ce0374ab500bfb9e07d5aab4d92275d0bb3bc6
--- /dev/null
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -0,0 +1,62 @@
+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.73,
+      "acc_stderr,none": 0.01987435483128749,
+      "alias": "pubmedqa"
+    }
+  },
+  "configs": {
+    "pubmedqa": {
+      "task": "pubmedqa",
+      "dataset_path": "bigbio/pubmed_qa",
+      "dataset_name": "pubmed_qa_labeled_fold0_source",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text(doc) -> str:\n    ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n    return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n        ctxs,\n        doc[\"QUESTION\"],\n    )\n",
+      "doc_to_target": "final_decision",
+      "doc_to_choice": [
+        "yes",
+        "no",
+        "maybe"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "pubmedqa": 1.0
+  },
+  "n-shot": {
+    "pubmedqa": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
\ No newline at end of file
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
new file mode 100644
index 0000000000000000000000000000000000000000..6df386429b58092da597fd7128371f20e1c3dd00
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+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8be040043f48fa6bb045726f655899436ce74a363bdcd3aee21ee6ceec698bf
+size 43156
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
index 183f74dd07134ff874b2cc2c1599c2a4ced0f7bd..1cc6f3d44c0dd140e047cd3ede2556fe82315037 100644
--- a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -1,18 +1,18 @@
 {
   "results": {
     "pythia": {
-      "acc,none": 0.7433806828192467,
-      "acc_stderr,none": 0.13793235163862885,
+      "acc,none": 0.7433912692426552,
+      "acc_stderr,none": 0.14350617224236548,
       "acc_norm,none": 0.6280221175210029,
       "acc_norm_stderr,none": 0.010330170441803736,
-      "word_perplexity,none": 10.428191022549841,
+      "word_perplexity,none": 10.428882412474298,
       "word_perplexity_stderr,none": "N/A",
-      "byte_perplexity,none": 1.5502800869079052,
+      "byte_perplexity,none": 1.5502993074551348,
       "byte_perplexity_stderr,none": "N/A",
-      "bits_per_byte,none": 0.6325288887179478,
+      "bits_per_byte,none": 0.6325467753027727,
       "bits_per_byte_stderr,none": "N/A",
-      "perplexity,none": 3.376255600786083,
-      "perplexity_stderr,none": 0.06622887148707989,
+      "perplexity,none": 3.3763932503864287,
+      "perplexity_stderr,none": 0.06622884189802866,
       "alias": "pythia"
     },
     "ai2_arc": {
@@ -24,46 +24,46 @@
     },
     "arc_challenge": {
       "acc,none": 0.39761092150170646,
-      "acc_stderr,none": 0.014301752223279524,
+      "acc_stderr,none": 0.014301752223279531,
       "acc_norm,none": 0.4308873720136519,
-      "acc_norm_stderr,none": 0.01447113339264248,
+      "acc_norm_stderr,none": 0.014471133392642483,
       "alias": "  - arc_challenge"
     },
     "arc_easy": {
       "acc,none": 0.7369528619528619,
       "acc_stderr,none": 0.00903451489886582,
       "acc_norm,none": 0.7192760942760943,
-      "acc_norm_stderr,none": 0.009220526174711361,
+      "acc_norm_stderr,none": 0.00922052617471136,
       "alias": "  - arc_easy"
     },
     "blimp": {
       "acc,none": 0.8386865671641791,
-      "acc_stderr,none": 0.14193008369315854,
+      "acc_stderr,none": 0.14955502218955172,
       "alias": " - blimp"
     },
     "blimp_adjunct_island": {
       "acc,none": 0.913,
-      "acc_stderr,none": 0.008916866630745916,
+      "acc_stderr,none": 0.008916866630745892,
       "alias": "  - blimp_adjunct_island"
     },
     "blimp_anaphor_gender_agreement": {
       "acc,none": 0.988,
-      "acc_stderr,none": 0.0034449771940998413,
+      "acc_stderr,none": 0.003444977194099851,
       "alias": "  - blimp_anaphor_gender_agreement"
     },
     "blimp_anaphor_number_agreement": {
       "acc,none": 0.999,
-      "acc_stderr,none": 0.0010000000000000143,
+      "acc_stderr,none": 0.0010000000000000091,
       "alias": "  - blimp_anaphor_number_agreement"
     },
     "blimp_animate_subject_passive": {
-      "acc,none": 0.829,
-      "acc_stderr,none": 0.011912216456264602,
+      "acc,none": 0.828,
+      "acc_stderr,none": 0.011939788882495323,
       "alias": "  - blimp_animate_subject_passive"
     },
     "blimp_animate_subject_trans": {
       "acc,none": 0.912,
-      "acc_stderr,none": 0.008963053962592064,
+      "acc_stderr,none": 0.008963053962592069,
       "alias": "  - blimp_animate_subject_trans"
     },
     "blimp_causative": {
@@ -83,17 +83,17 @@
     },
     "blimp_coordinate_structure_constraint_object_extraction": {
       "acc,none": 0.861,
-      "acc_stderr,none": 0.010945263761042967,
+      "acc_stderr,none": 0.010945263761042962,
       "alias": "  - blimp_coordinate_structure_constraint_object_extraction"
     },
     "blimp_determiner_noun_agreement_1": {
       "acc,none": 0.997,
-      "acc_stderr,none": 0.0017303161543469362,
+      "acc_stderr,none": 0.0017303161543469375,
       "alias": "  - blimp_determiner_noun_agreement_1"
     },
     "blimp_determiner_noun_agreement_2": {
       "acc,none": 0.986,
-      "acc_stderr,none": 0.003717232548256594,
+      "acc_stderr,none": 0.0037172325482565543,
       "alias": "  - blimp_determiner_noun_agreement_2"
     },
     "blimp_determiner_noun_agreement_irregular_1": {
@@ -103,17 +103,17 @@
     },
     "blimp_determiner_noun_agreement_irregular_2": {
       "acc,none": 0.965,
-      "acc_stderr,none": 0.005814534272734973,
+      "acc_stderr,none": 0.005814534272734967,
       "alias": "  - blimp_determiner_noun_agreement_irregular_2"
     },
     "blimp_determiner_noun_agreement_with_adj_2": {
       "acc,none": 0.964,
-      "acc_stderr,none": 0.00589395781616558,
+      "acc_stderr,none": 0.005893957816165557,
       "alias": "  - blimp_determiner_noun_agreement_with_adj_2"
     },
     "blimp_determiner_noun_agreement_with_adj_irregular_1": {
       "acc,none": 0.938,
-      "acc_stderr,none": 0.007629823996280302,
+      "acc_stderr,none": 0.0076298239962803134,
       "alias": "  - blimp_determiner_noun_agreement_with_adj_irregular_1"
     },
     "blimp_determiner_noun_agreement_with_adj_irregular_2": {
@@ -123,72 +123,72 @@
     },
     "blimp_determiner_noun_agreement_with_adjective_1": {
       "acc,none": 0.98,
-      "acc_stderr,none": 0.004429403980178344,
+      "acc_stderr,none": 0.004429403980178341,
       "alias": "  - blimp_determiner_noun_agreement_with_adjective_1"
     },
     "blimp_distractor_agreement_relational_noun": {
       "acc,none": 0.926,
-      "acc_stderr,none": 0.008282064512704164,
+      "acc_stderr,none": 0.008282064512704166,
       "alias": "  - blimp_distractor_agreement_relational_noun"
     },
     "blimp_distractor_agreement_relative_clause": {
-      "acc,none": 0.793,
-      "acc_stderr,none": 0.012818553557843986,
+      "acc,none": 0.794,
+      "acc_stderr,none": 0.012795613612786558,
       "alias": "  - blimp_distractor_agreement_relative_clause"
     },
     "blimp_drop_argument": {
-      "acc,none": 0.771,
-      "acc_stderr,none": 0.0132941993266136,
+      "acc,none": 0.772,
+      "acc_stderr,none": 0.013273740700804487,
       "alias": "  - blimp_drop_argument"
     },
     "blimp_ellipsis_n_bar_1": {
       "acc,none": 0.81,
-      "acc_stderr,none": 0.012411851354816325,
+      "acc_stderr,none": 0.01241185135481633,
       "alias": "  - blimp_ellipsis_n_bar_1"
     },
     "blimp_ellipsis_n_bar_2": {
-      "acc,none": 0.924,
-      "acc_stderr,none": 0.008384169266796394,
+      "acc,none": 0.923,
+      "acc_stderr,none": 0.008434580140240625,
       "alias": "  - blimp_ellipsis_n_bar_2"
     },
     "blimp_existential_there_object_raising": {
       "acc,none": 0.832,
-      "acc_stderr,none": 0.011828605831454266,
+      "acc_stderr,none": 0.011828605831454262,
       "alias": "  - blimp_existential_there_object_raising"
     },
     "blimp_existential_there_quantifiers_1": {
       "acc,none": 0.984,
-      "acc_stderr,none": 0.003969856390319422,
+      "acc_stderr,none": 0.003969856390319419,
       "alias": "  - blimp_existential_there_quantifiers_1"
     },
     "blimp_existential_there_quantifiers_2": {
       "acc,none": 0.431,
-      "acc_stderr,none": 0.0156679444881735,
+      "acc_stderr,none": 0.015667944488173508,
       "alias": "  - blimp_existential_there_quantifiers_2"
     },
     "blimp_existential_there_subject_raising": {
       "acc,none": 0.853,
-      "acc_stderr,none": 0.011203415395160331,
+      "acc_stderr,none": 0.01120341539516033,
       "alias": "  - blimp_existential_there_subject_raising"
     },
     "blimp_expletive_it_object_raising": {
       "acc,none": 0.795,
-      "acc_stderr,none": 0.01277255409611312,
+      "acc_stderr,none": 0.012772554096113125,
       "alias": "  - blimp_expletive_it_object_raising"
     },
     "blimp_inchoative": {
       "acc,none": 0.686,
-      "acc_stderr,none": 0.014683991951087962,
+      "acc_stderr,none": 0.014683991951087966,
       "alias": "  - blimp_inchoative"
     },
     "blimp_intransitive": {
       "acc,none": 0.851,
-      "acc_stderr,none": 0.011266140684632168,
+      "acc_stderr,none": 0.01126614068463216,
       "alias": "  - blimp_intransitive"
     },
     "blimp_irregular_past_participle_adjectives": {
       "acc,none": 0.939,
-      "acc_stderr,none": 0.00757207609155742,
+      "acc_stderr,none": 0.007572076091557425,
       "alias": "  - blimp_irregular_past_participle_adjectives"
     },
     "blimp_irregular_past_participle_verbs": {
@@ -198,17 +198,17 @@
     },
     "blimp_irregular_plural_subject_verb_agreement_1": {
       "acc,none": 0.937,
-      "acc_stderr,none": 0.007687007876286428,
+      "acc_stderr,none": 0.007687007876286427,
       "alias": "  - blimp_irregular_plural_subject_verb_agreement_1"
     },
     "blimp_irregular_plural_subject_verb_agreement_2": {
       "acc,none": 0.895,
-      "acc_stderr,none": 0.009698921026024947,
+      "acc_stderr,none": 0.009698921026024952,
       "alias": "  - blimp_irregular_plural_subject_verb_agreement_2"
     },
     "blimp_left_branch_island_echo_question": {
       "acc,none": 0.626,
-      "acc_stderr,none": 0.015308767369006372,
+      "acc_stderr,none": 0.015308767369006363,
       "alias": "  - blimp_left_branch_island_echo_question"
     },
     "blimp_left_branch_island_simple_question": {
@@ -223,37 +223,37 @@
     },
     "blimp_npi_present_1": {
       "acc,none": 0.608,
-      "acc_stderr,none": 0.015445859463771307,
+      "acc_stderr,none": 0.015445859463771297,
       "alias": "  - blimp_npi_present_1"
     },
     "blimp_npi_present_2": {
       "acc,none": 0.69,
-      "acc_stderr,none": 0.014632638658632896,
+      "acc_stderr,none": 0.014632638658632895,
       "alias": "  - blimp_npi_present_2"
     },
     "blimp_only_npi_licensor_present": {
       "acc,none": 0.937,
-      "acc_stderr,none": 0.007687007876286425,
+      "acc_stderr,none": 0.007687007876286415,
       "alias": "  - blimp_only_npi_licensor_present"
     },
     "blimp_only_npi_scope": {
       "acc,none": 0.86,
-      "acc_stderr,none": 0.010978183844357807,
+      "acc_stderr,none": 0.010978183844357793,
       "alias": "  - blimp_only_npi_scope"
     },
     "blimp_passive_1": {
       "acc,none": 0.898,
-      "acc_stderr,none": 0.00957536880165387,
+      "acc_stderr,none": 0.009575368801653886,
       "alias": "  - blimp_passive_1"
     },
     "blimp_passive_2": {
       "acc,none": 0.897,
-      "acc_stderr,none": 0.009616833339695801,
+      "acc_stderr,none": 0.009616833339695804,
       "alias": "  - blimp_passive_2"
     },
     "blimp_principle_A_c_command": {
       "acc,none": 0.801,
-      "acc_stderr,none": 0.012631649083099189,
+      "acc_stderr,none": 0.012631649083099163,
       "alias": "  - blimp_principle_A_c_command"
     },
     "blimp_principle_A_case_1": {
@@ -263,22 +263,22 @@
     },
     "blimp_principle_A_case_2": {
       "acc,none": 0.954,
-      "acc_stderr,none": 0.006627814717380712,
+      "acc_stderr,none": 0.006627814717380713,
       "alias": "  - blimp_principle_A_case_2"
     },
     "blimp_principle_A_domain_1": {
       "acc,none": 0.999,
-      "acc_stderr,none": 0.0010000000000000033,
+      "acc_stderr,none": 0.0010000000000000044,
       "alias": "  - blimp_principle_A_domain_1"
     },
     "blimp_principle_A_domain_2": {
       "acc,none": 0.924,
-      "acc_stderr,none": 0.008384169266796403,
+      "acc_stderr,none": 0.008384169266796394,
       "alias": "  - blimp_principle_A_domain_2"
     },
     "blimp_principle_A_domain_3": {
       "acc,none": 0.805,
-      "acc_stderr,none": 0.012535235623319325,
+      "acc_stderr,none": 0.012535235623319324,
       "alias": "  - blimp_principle_A_domain_3"
     },
     "blimp_principle_A_reconstruction": {
@@ -288,27 +288,27 @@
     },
     "blimp_regular_plural_subject_verb_agreement_1": {
       "acc,none": 0.966,
-      "acc_stderr,none": 0.005733836139695459,
+      "acc_stderr,none": 0.005733836139695435,
       "alias": "  - blimp_regular_plural_subject_verb_agreement_1"
     },
     "blimp_regular_plural_subject_verb_agreement_2": {
       "acc,none": 0.915,
-      "acc_stderr,none": 0.008823426366942307,
+      "acc_stderr,none": 0.008823426366942312,
       "alias": "  - blimp_regular_plural_subject_verb_agreement_2"
     },
     "blimp_sentential_negation_npi_licensor_present": {
       "acc,none": 0.986,
-      "acc_stderr,none": 0.0037172325482565678,
+      "acc_stderr,none": 0.0037172325482565595,
       "alias": "  - blimp_sentential_negation_npi_licensor_present"
     },
     "blimp_sentential_negation_npi_scope": {
       "acc,none": 0.731,
-      "acc_stderr,none": 0.014029819522568198,
+      "acc_stderr,none": 0.014029819522568196,
       "alias": "  - blimp_sentential_negation_npi_scope"
     },
     "blimp_sentential_subject_island": {
       "acc,none": 0.474,
-      "acc_stderr,none": 0.015797897758042755,
+      "acc_stderr,none": 0.01579789775804276,
       "alias": "  - blimp_sentential_subject_island"
     },
     "blimp_superlative_quantifiers_1": {
@@ -318,17 +318,17 @@
     },
     "blimp_superlative_quantifiers_2": {
       "acc,none": 0.96,
-      "acc_stderr,none": 0.006199874066337076,
+      "acc_stderr,none": 0.006199874066337051,
       "alias": "  - blimp_superlative_quantifiers_2"
     },
     "blimp_tough_vs_raising_1": {
       "acc,none": 0.636,
-      "acc_stderr,none": 0.01522286884052202,
+      "acc_stderr,none": 0.015222868840522015,
       "alias": "  - blimp_tough_vs_raising_1"
     },
     "blimp_tough_vs_raising_2": {
       "acc,none": 0.87,
-      "acc_stderr,none": 0.010640169792499338,
+      "acc_stderr,none": 0.010640169792499354,
       "alias": "  - blimp_tough_vs_raising_2"
     },
     "blimp_transitive": {
@@ -338,7 +338,7 @@
     },
     "blimp_wh_island": {
       "acc,none": 0.814,
-      "acc_stderr,none": 0.012310790208412794,
+      "acc_stderr,none": 0.012310790208412803,
       "alias": "  - blimp_wh_island"
     },
     "blimp_wh_questions_object_gap": {
@@ -348,57 +348,57 @@
     },
     "blimp_wh_questions_subject_gap": {
       "acc,none": 0.937,
-      "acc_stderr,none": 0.0076870078762864115,
+      "acc_stderr,none": 0.007687007876286408,
       "alias": "  - blimp_wh_questions_subject_gap"
     },
     "blimp_wh_questions_subject_gap_long_distance": {
       "acc,none": 0.922,
-      "acc_stderr,none": 0.008484573530118588,
+      "acc_stderr,none": 0.008484573530118581,
       "alias": "  - blimp_wh_questions_subject_gap_long_distance"
     },
     "blimp_wh_vs_that_no_gap": {
       "acc,none": 0.981,
-      "acc_stderr,none": 0.004319451082910606,
+      "acc_stderr,none": 0.0043194510829106135,
       "alias": "  - blimp_wh_vs_that_no_gap"
     },
     "blimp_wh_vs_that_no_gap_long_distance": {
       "acc,none": 0.967,
-      "acc_stderr,none": 0.005651808820452374,
+      "acc_stderr,none": 0.005651808820452372,
       "alias": "  - blimp_wh_vs_that_no_gap_long_distance"
     },
     "blimp_wh_vs_that_with_gap": {
       "acc,none": 0.405,
-      "acc_stderr,none": 0.015531136990453049,
+      "acc_stderr,none": 0.015531136990453045,
       "alias": "  - blimp_wh_vs_that_with_gap"
     },
     "blimp_wh_vs_that_with_gap_long_distance": {
       "acc,none": 0.359,
-      "acc_stderr,none": 0.015177264224798585,
+      "acc_stderr,none": 0.015177264224798596,
       "alias": "  - blimp_wh_vs_that_with_gap_long_distance"
     },
     "lambada_openai": {
-      "perplexity,none": 3.376255600786083,
-      "perplexity_stderr,none": 0.06622887148707989,
-      "acc,none": 0.7438385406559286,
-      "acc_stderr,none": 0.006081466315674246,
+      "perplexity,none": 3.3763932503864287,
+      "perplexity_stderr,none": 0.06622884189802866,
+      "acc,none": 0.74345041723268,
+      "acc_stderr,none": 0.006084483727167678,
       "alias": " - lambada_openai"
     },
     "logiqa": {
       "acc,none": 0.2457757296466974,
-      "acc_stderr,none": 0.016887410894296958,
+      "acc_stderr,none": 0.016887410894296927,
       "acc_norm,none": 0.28417818740399386,
-      "acc_norm_stderr,none": 0.01769054268019077,
+      "acc_norm_stderr,none": 0.01769054268019079,
       "alias": " - logiqa"
     },
     "mmlu": {
-      "acc,none": 0.33093576413616294,
-      "acc_stderr,none": 0.06067347861769321,
+      "acc,none": 0.33114940891610883,
+      "acc_stderr,none": 0.06038941147971378,
       "alias": " - mmlu"
     },
     "mmlu_humanities": {
       "alias": "  - humanities",
-      "acc,none": 0.32539851222104144,
-      "acc_stderr,none": 0.060721858674346096
+      "acc,none": 0.32582359192348564,
+      "acc_stderr,none": 0.05651754471436536
     },
     "mmlu_formal_logic": {
       "alias": "   - formal_logic",
@@ -417,8 +417,8 @@
     },
     "mmlu_high_school_world_history": {
       "alias": "   - high_school_world_history",
-      "acc,none": 0.42616033755274263,
-      "acc_stderr,none": 0.03219035703131774
+      "acc,none": 0.43037974683544306,
+      "acc_stderr,none": 0.03223017195937598
     },
     "mmlu_international_law": {
       "alias": "   - international_law",
@@ -428,7 +428,7 @@
     "mmlu_jurisprudence": {
       "alias": "   - jurisprudence",
       "acc,none": 0.32407407407407407,
-      "acc_stderr,none": 0.04524596007030049
+      "acc_stderr,none": 0.04524596007030048
     },
     "mmlu_logical_fallacies": {
       "alias": "   - logical_fallacies",
@@ -438,52 +438,52 @@
     "mmlu_moral_disputes": {
       "alias": "   - moral_disputes",
       "acc,none": 0.315028901734104,
-      "acc_stderr,none": 0.025009313790069706
+      "acc_stderr,none": 0.025009313790069713
     },
     "mmlu_moral_scenarios": {
       "alias": "   - moral_scenarios",
       "acc,none": 0.2346368715083799,
-      "acc_stderr,none": 0.014173044098303679
+      "acc_stderr,none": 0.014173044098303667
     },
     "mmlu_philosophy": {
       "alias": "   - philosophy",
       "acc,none": 0.3987138263665595,
-      "acc_stderr,none": 0.0278093225857745
+      "acc_stderr,none": 0.027809322585774503
     },
     "mmlu_prehistory": {
       "alias": "   - prehistory",
-      "acc,none": 0.3611111111111111,
-      "acc_stderr,none": 0.026725868809100786
+      "acc,none": 0.36419753086419754,
+      "acc_stderr,none": 0.026774929899722324
     },
     "mmlu_professional_law": {
       "alias": "   - professional_law",
       "acc,none": 0.3011734028683181,
-      "acc_stderr,none": 0.011717148751648424
+      "acc_stderr,none": 0.011717148751648431
     },
     "mmlu_world_religions": {
       "alias": "   - world_religions",
       "acc,none": 0.391812865497076,
-      "acc_stderr,none": 0.037439798259264
+      "acc_stderr,none": 0.03743979825926398
     },
     "mmlu_other": {
       "alias": "  - other",
       "acc,none": 0.36594785967170906,
-      "acc_stderr,none": 0.0497900578717159
+      "acc_stderr,none": 0.053480370251406284
     },
     "mmlu_business_ethics": {
       "alias": "   - business_ethics",
       "acc,none": 0.33,
-      "acc_stderr,none": 0.047258156262526045
+      "acc_stderr,none": 0.04725815626252604
     },
     "mmlu_clinical_knowledge": {
       "alias": "   - clinical_knowledge",
       "acc,none": 0.37358490566037733,
-      "acc_stderr,none": 0.02977308271331987
+      "acc_stderr,none": 0.029773082713319878
     },
     "mmlu_college_medicine": {
       "alias": "   - college_medicine",
       "acc,none": 0.27167630057803466,
-      "acc_stderr,none": 0.03391750322321659
+      "acc_stderr,none": 0.0339175032232166
     },
     "mmlu_global_facts": {
       "alias": "   - global_facts",
@@ -508,27 +508,27 @@
     "mmlu_medical_genetics": {
       "alias": "   - medical_genetics",
       "acc,none": 0.33,
-      "acc_stderr,none": 0.04725815626252604
+      "acc_stderr,none": 0.04725815626252605
     },
     "mmlu_miscellaneous": {
       "alias": "   - miscellaneous",
       "acc,none": 0.4367816091954023,
-      "acc_stderr,none": 0.017736470837800687
+      "acc_stderr,none": 0.017736470837800694
     },
     "mmlu_nutrition": {
       "alias": "   - nutrition",
       "acc,none": 0.3235294117647059,
-      "acc_stderr,none": 0.026787453111906535
+      "acc_stderr,none": 0.026787453111906532
     },
     "mmlu_professional_accounting": {
       "alias": "   - professional_accounting",
       "acc,none": 0.2624113475177305,
-      "acc_stderr,none": 0.026244920349843007
+      "acc_stderr,none": 0.026244920349843014
     },
     "mmlu_professional_medicine": {
       "alias": "   - professional_medicine",
       "acc,none": 0.35294117647058826,
-      "acc_stderr,none": 0.029029422815681397
+      "acc_stderr,none": 0.029029422815681393
     },
     "mmlu_virology": {
       "alias": "   - virology",
@@ -538,12 +538,12 @@
     "mmlu_social_sciences": {
       "alias": "  - social_sciences",
       "acc,none": 0.35359116022099446,
-      "acc_stderr,none": 0.04999851255154558
+      "acc_stderr,none": 0.051101563313320164
     },
     "mmlu_econometrics": {
       "alias": "   - econometrics",
       "acc,none": 0.23684210526315788,
-      "acc_stderr,none": 0.03999423879281337
+      "acc_stderr,none": 0.039994238792813365
     },
     "mmlu_high_school_geography": {
       "alias": "   - high_school_geography",
@@ -553,17 +553,17 @@
     "mmlu_high_school_government_and_politics": {
       "alias": "   - high_school_government_and_politics",
       "acc,none": 0.45077720207253885,
-      "acc_stderr,none": 0.03590910952235523
+      "acc_stderr,none": 0.035909109522355244
     },
     "mmlu_high_school_macroeconomics": {
       "alias": "   - high_school_macroeconomics",
       "acc,none": 0.3076923076923077,
-      "acc_stderr,none": 0.023400928918310495
+      "acc_stderr,none": 0.023400928918310488
     },
     "mmlu_high_school_microeconomics": {
       "alias": "   - high_school_microeconomics",
       "acc,none": 0.31512605042016806,
-      "acc_stderr,none": 0.030176808288974337
+      "acc_stderr,none": 0.03017680828897434
     },
     "mmlu_high_school_psychology": {
       "alias": "   - high_school_psychology",
@@ -578,17 +578,17 @@
     "mmlu_professional_psychology": {
       "alias": "   - professional_psychology",
       "acc,none": 0.3284313725490196,
-      "acc_stderr,none": 0.018999707383162666
+      "acc_stderr,none": 0.018999707383162673
     },
     "mmlu_public_relations": {
       "alias": "   - public_relations",
       "acc,none": 0.39090909090909093,
-      "acc_stderr,none": 0.04673752333670239
+      "acc_stderr,none": 0.04673752333670238
     },
     "mmlu_security_studies": {
       "alias": "   - security_studies",
       "acc,none": 0.3224489795918367,
-      "acc_stderr,none": 0.029923100563683906
+      "acc_stderr,none": 0.02992310056368391
     },
     "mmlu_sociology": {
       "alias": "   - sociology",
@@ -598,17 +598,17 @@
     "mmlu_us_foreign_policy": {
       "alias": "   - us_foreign_policy",
       "acc,none": 0.44,
-      "acc_stderr,none": 0.04988876515698589
+      "acc_stderr,none": 0.049888765156985884
     },
     "mmlu_stem": {
       "alias": "  - stem",
-      "acc,none": 0.28258801141769746,
-      "acc_stderr,none": 0.06097443015202581
+      "acc,none": 0.28290516967967017,
+      "acc_stderr,none": 0.061921192357468
     },
     "mmlu_abstract_algebra": {
       "alias": "   - abstract_algebra",
       "acc,none": 0.27,
-      "acc_stderr,none": 0.044619604333847394
+      "acc_stderr,none": 0.0446196043338474
     },
     "mmlu_anatomy": {
       "alias": "   - anatomy",
@@ -618,7 +618,7 @@
     "mmlu_astronomy": {
       "alias": "   - astronomy",
       "acc,none": 0.26973684210526316,
-      "acc_stderr,none": 0.03611780560284898
+      "acc_stderr,none": 0.036117805602848975
     },
     "mmlu_college_biology": {
       "alias": "   - college_biology",
@@ -628,12 +628,12 @@
     "mmlu_college_chemistry": {
       "alias": "   - college_chemistry",
       "acc,none": 0.32,
-      "acc_stderr,none": 0.04688261722621504
+      "acc_stderr,none": 0.04688261722621505
     },
     "mmlu_college_computer_science": {
       "alias": "   - college_computer_science",
       "acc,none": 0.19,
-      "acc_stderr,none": 0.03942772444036625
+      "acc_stderr,none": 0.039427724440366234
     },
     "mmlu_college_mathematics": {
       "alias": "   - college_mathematics",
@@ -643,37 +643,37 @@
     "mmlu_college_physics": {
       "alias": "   - college_physics",
       "acc,none": 0.22549019607843138,
-      "acc_stderr,none": 0.041583075330832865
+      "acc_stderr,none": 0.04158307533083286
     },
     "mmlu_computer_security": {
       "alias": "   - computer_security",
       "acc,none": 0.28,
-      "acc_stderr,none": 0.04512608598542126
+      "acc_stderr,none": 0.045126085985421276
     },
     "mmlu_conceptual_physics": {
       "alias": "   - conceptual_physics",
       "acc,none": 0.3702127659574468,
-      "acc_stderr,none": 0.03156564682236784
+      "acc_stderr,none": 0.031565646822367836
     },
     "mmlu_electrical_engineering": {
       "alias": "   - electrical_engineering",
       "acc,none": 0.2827586206896552,
-      "acc_stderr,none": 0.03752833958003337
+      "acc_stderr,none": 0.03752833958003336
     },
     "mmlu_elementary_mathematics": {
       "alias": "   - elementary_mathematics",
       "acc,none": 0.2619047619047619,
-      "acc_stderr,none": 0.022644212615525218
+      "acc_stderr,none": 0.022644212615525214
     },
     "mmlu_high_school_biology": {
       "alias": "   - high_school_biology",
       "acc,none": 0.3967741935483871,
-      "acc_stderr,none": 0.027831231605767937
+      "acc_stderr,none": 0.02783123160576794
     },
     "mmlu_high_school_chemistry": {
       "alias": "   - high_school_chemistry",
-      "acc,none": 0.29064039408866993,
-      "acc_stderr,none": 0.03194740072265541
+      "acc,none": 0.2955665024630542,
+      "acc_stderr,none": 0.032104944337514575
     },
     "mmlu_high_school_computer_science": {
       "alias": "   - high_school_computer_science",
@@ -683,12 +683,12 @@
     "mmlu_high_school_mathematics": {
       "alias": "   - high_school_mathematics",
       "acc,none": 0.24814814814814815,
-      "acc_stderr,none": 0.0263357394040558
+      "acc_stderr,none": 0.026335739404055803
     },
     "mmlu_high_school_physics": {
       "alias": "   - high_school_physics",
       "acc,none": 0.23841059602649006,
-      "acc_stderr,none": 0.034791855725996586
+      "acc_stderr,none": 0.0347918557259966
     },
     "mmlu_high_school_statistics": {
       "alias": "   - high_school_statistics",
@@ -698,56 +698,56 @@
     "mmlu_machine_learning": {
       "alias": "   - machine_learning",
       "acc,none": 0.2767857142857143,
-      "acc_stderr,none": 0.042466243366976256
+      "acc_stderr,none": 0.04246624336697624
     },
     "piqa": {
       "acc,none": 0.7704026115342764,
-      "acc_stderr,none": 0.009812682950815195,
+      "acc_stderr,none": 0.009812682950815194,
       "acc_norm,none": 0.7731229597388466,
       "acc_norm_stderr,none": 0.009771584259215167,
       "alias": " - piqa"
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       "acc_norm,none": 0.93,
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       "alias": " - sciq"
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     "wikitext": {
-      "word_perplexity,none": 10.428191022549841,
+      "word_perplexity,none": 10.428882412474298,
       "word_perplexity_stderr,none": "N/A",
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+      "bits_per_byte,none": 0.6325467753027727,
       "bits_per_byte_stderr,none": "N/A",
       "alias": " - wikitext"
     },
     "winogrande": {
       "acc,none": 0.6740331491712708,
-      "acc_stderr,none": 0.013173782636922185,
+      "acc_stderr,none": 0.013173782636922194,
       "alias": " - winogrande"
     },
     "wsc": {
       "acc,none": 0.49038461538461536,
-      "acc_stderr,none": 0.04925735314273531,
+      "acc_stderr,none": 0.04925735314273532,
       "alias": " - wsc"
     }
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   "groups": {
     "pythia": {
-      "acc,none": 0.7433806828192467,
-      "acc_stderr,none": 0.13793235163862885,
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       "acc_norm_stderr,none": 0.010330170441803736,
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       "word_perplexity_stderr,none": "N/A",
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       "byte_perplexity_stderr,none": "N/A",
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       "bits_per_byte_stderr,none": "N/A",
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       "alias": "pythia"
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     "ai2_arc": {
@@ -759,33 +759,33 @@
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       "acc,none": 0.8386865671641791,
-      "acc_stderr,none": 0.14193008369315854,
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       "alias": " - blimp"
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-      "acc,none": 0.33093576413616294,
-      "acc_stderr,none": 0.06067347861769321,
+      "acc,none": 0.33114940891610883,
+      "acc_stderr,none": 0.06038941147971378,
       "alias": " - mmlu"
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       "alias": "  - humanities",
-      "acc,none": 0.32539851222104144,
-      "acc_stderr,none": 0.060721858674346096
+      "acc,none": 0.32582359192348564,
+      "acc_stderr,none": 0.05651754471436536
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     "mmlu_other": {
       "alias": "  - other",
       "acc,none": 0.36594785967170906,
-      "acc_stderr,none": 0.0497900578717159
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     },
     "mmlu_social_sciences": {
       "alias": "  - social_sciences",
       "acc,none": 0.35359116022099446,
-      "acc_stderr,none": 0.04999851255154558
+      "acc_stderr,none": 0.051101563313320164
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       "alias": "  - stem",
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-      "acc_stderr,none": 0.06097443015202581
+      "acc,none": 0.28290516967967017,
+      "acc_stderr,none": 0.061921192357468
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   "configs": {
diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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@@ -0,0 +1,171 @@
+{
+  "results": {
+    "qa4mre": {
+      "acc,none": 0.3900709219858156,
+      "acc_stderr,none": 0.04155271878590972,
+      "acc_norm,none": 0.4308510638297872,
+      "acc_norm_stderr,none": 0.06166073934278518,
+      "alias": "qa4mre"
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+    "qa4mre_2011": {
+      "acc,none": 0.44166666666666665,
+      "acc_stderr,none": 0.04552192400253557,
+      "acc_norm,none": 0.55,
+      "acc_norm_stderr,none": 0.04560517440787951,
+      "alias": " - qa4mre_2011"
+    },
+    "qa4mre_2012": {
+      "acc,none": 0.36875,
+      "acc_stderr,none": 0.03826204233503227,
+      "acc_norm,none": 0.425,
+      "acc_norm_stderr,none": 0.0392039498715957,
+      "alias": " - qa4mre_2012"
+    },
+    "qa4mre_2013": {
+      "acc,none": 0.38028169014084506,
+      "acc_stderr,none": 0.028857363751758302,
+      "acc_norm,none": 0.38380281690140844,
+      "acc_norm_stderr,none": 0.028908177688046176,
+      "alias": " - qa4mre_2013"
+    }
+  },
+  "groups": {
+    "qa4mre": {
+      "acc,none": 0.3900709219858156,
+      "acc_stderr,none": 0.04155271878590972,
+      "acc_norm,none": 0.4308510638297872,
+      "acc_norm_stderr,none": 0.06166073934278518,
+      "alias": "qa4mre"
+    }
+  },
+  "configs": {
+    "qa4mre_2011": {
+      "task": "qa4mre_2011",
+      "group": [
+        "qa4mre"
+      ],
+      "dataset_path": "qa4mre",
+      "dataset_name": "2011.main.EN",
+      "test_split": "train",
+      "doc_to_text": "{{document_str.strip()}}\nQuestion: {{question_str}}\nAnswer:",
+      "doc_to_target": "{{correct_answer_id|int - 1}}",
+      "doc_to_choice": "{{answer_options.answer_str}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
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+          "metric": "acc_norm",
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+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{document_str.strip()}} + ' ' + {{question_str}}",
+      "metadata": {
+        "version": 1.0
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+      "task": "qa4mre_2012",
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+      "dataset_name": "2012.main.EN",
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+      "doc_to_target": "{{correct_answer_id|int - 1}}",
+      "doc_to_choice": "{{answer_options.answer_str}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
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+          "metric": "acc",
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+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{document_str.strip()}} + ' ' + {{question_str}}",
+      "metadata": {
+        "version": 1.0
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+    "qa4mre_2013": {
+      "task": "qa4mre_2013",
+      "group": [
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+      "dataset_name": "2013.main.EN",
+      "test_split": "train",
+      "doc_to_text": "{{document_str.strip()}}\nQuestion: {{question_str}}\nAnswer:",
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+      "doc_to_choice": "{{answer_options.answer_str}}",
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+    "qa4mre_2012": 0,
+    "qa4mre_2013": 0
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+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
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+}
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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+      "alias": "qnli"
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+      "group": "glue",
+      "dataset_path": "glue",
+      "dataset_name": "qnli",
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+      "validation_split": "validation",
+      "doc_to_text": "{{question}}\n{{sentence}}\nQuestion: Does this response answer the question?\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": [
+        "yes",
+        "no"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
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+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
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+  "versions": {
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+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
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+  "git_hash": "8281e96"
+}
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+      "f1,none": 0.6869092910295983,
+      "f1_stderr,none": 0.002600150100598662,
+      "alias": "qqp"
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+      "group": "glue",
+      "dataset_path": "glue",
+      "dataset_name": "qqp",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "\nSentence 1: {{question1}}\nSentence 2: {{question2}}\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": [
+        "no",
+        "yes"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
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+          "metric": "f1"
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+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
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+  "versions": {
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+}
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@@ -0,0 +1,56 @@
+{
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+      "acc_stderr,none": 0.014818780400538108,
+      "alias": "race"
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+  "configs": {
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+      "task": "race",
+      "dataset_path": "EleutherAI/race",
+      "dataset_name": "high",
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text(doc):\n    text = \"Article: \" + doc[\"article\"] + \"\\n\\n\"\n    for problem in process_ast(doc[\"problems\"])[:-1]:\n        if problem[\"question\"][-6:] == \"  _  .\":\n            text += problem[\"question\"][-5:] + get_answer_option(problem) + \"\\n\"\n        else:\n            question = \"Question: \" + problem[\"question\"] + \"\\n\"\n            answer = \"Answer: \" + get_answer_option(problem) + \"\\n\"\n            text += question + answer\n    text += last_problem(doc)[\"question\"]\n    return text\n",
+      "doc_to_target": "def doc_to_target(doc):\n    letter_to_num = {\"A\": 0, \"B\": 1, \"C\": 2, \"D\": 3}\n    answer = letter_to_num[last_problem(doc)[\"answer\"]]\n    return answer\n",
+      "doc_to_choice": "def doc_to_choice(doc):\n    problem = last_problem(doc)\n    choices = [problem[\"options\"][i] for i in range(4)]\n    return choices\n",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
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+          "aggregation": "mean",
+          "higher_is_better": true
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+      "alias": " - sycophancy_on_philpapers2020"
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+      "alias": " - sycophancy_on_political_typology_quiz"
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..99c2f59d241ed8e8941b49ad2146217b6513aa30
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+++ b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
@@ -0,0 +1,65 @@
+{
+  "results": {
+    "wikitext": {
+      "word_perplexity,none": 10.428191022549841,
+      "word_perplexity_stderr,none": "N/A",
+      "byte_perplexity,none": 1.5502800869079052,
+      "byte_perplexity_stderr,none": "N/A",
+      "bits_per_byte,none": 0.6325288887179478,
+      "bits_per_byte_stderr,none": "N/A",
+      "alias": "wikitext"
+    }
+  },
+  "configs": {
+    "wikitext": {
+      "task": "wikitext",
+      "dataset_path": "EleutherAI/wikitext_document_level",
+      "dataset_name": "wikitext-2-raw-v1",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "",
+      "doc_to_target": "def wikitext_detokenizer(doc):\n    string = doc[\"page\"]\n    # contractions\n    string = string.replace(\"s '\", \"s'\")\n    string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n    # number separators\n    string = string.replace(\" @-@ \", \"-\")\n    string = string.replace(\" @,@ \", \",\")\n    string = string.replace(\" @.@ \", \".\")\n    # punctuation\n    string = string.replace(\" : \", \": \")\n    string = string.replace(\" ; \", \"; \")\n    string = string.replace(\" . \", \". \")\n    string = string.replace(\" ! \", \"! \")\n    string = string.replace(\" ? \", \"? \")\n    string = string.replace(\" , \", \", \")\n    # double brackets\n    string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n    string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n    string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n    string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n    string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n    # miscellaneous\n    string = string.replace(\"= = = =\", \"====\")\n    string = string.replace(\"= = =\", \"===\")\n    string = string.replace(\"= =\", \"==\")\n    string = string.replace(\" \" + chr(176) + \" \", chr(176))\n    string = string.replace(\" \\n\", \"\\n\")\n    string = string.replace(\"\\n \", \"\\n\")\n    string = string.replace(\" N \", \" 1 \")\n    string = string.replace(\" 's\", \"'s\")\n\n    return string\n",
+      "process_results": "def process_results(doc, results):\n    (loglikelihood,) = results\n    # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n    _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n    _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n    return {\n        \"word_perplexity\": (loglikelihood, _words),\n        \"byte_perplexity\": (loglikelihood, _bytes),\n        \"bits_per_byte\": (loglikelihood, _bytes),\n    }\n",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "word_perplexity"
+        },
+        {
+          "metric": "byte_perplexity"
+        },
+        {
+          "metric": "bits_per_byte"
+        }
+      ],
+      "output_type": "loglikelihood_rolling",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{page}}",
+      "metadata": {
+        "version": 2.0
+      }
+    }
+  },
+  "versions": {
+    "wikitext": 2.0
+  },
+  "n-shot": {
+    "wikitext": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..01b731adbf8e082c33ac3f583a1a1475b605eb1a
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@@ -0,0 +1,59 @@
+{
+  "results": {
+    "wnli": {
+      "acc,none": 0.43661971830985913,
+      "acc_stderr,none": 0.0592793555841297,
+      "alias": "wnli"
+    }
+  },
+  "configs": {
+    "wnli": {
+      "task": "wnli",
+      "group": "glue",
+      "dataset_path": "glue",
+      "dataset_name": "wnli",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "{{sentence1}}\nQuestion: {{sentence2}} True or False?\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": [
+        "False",
+        "True"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc"
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 2.0
+      }
+    }
+  },
+  "versions": {
+    "wnli": 2.0
+  },
+  "n-shot": {
+    "wnli": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
new file mode 100644
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@@ -0,0 +1,61 @@
+{
+  "results": {
+    "wsc": {
+      "acc,none": 0.5,
+      "acc_stderr,none": 0.04926646390821466,
+      "alias": "wsc"
+    }
+  },
+  "configs": {
+    "wsc": {
+      "task": "wsc",
+      "group": [
+        "super-glue-lm-eval-v1"
+      ],
+      "dataset_path": "super_glue",
+      "dataset_name": "wsc.fixed",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "def default_doc_to_text(x):\n    raw_passage = x[\"text\"]\n    # NOTE: HuggingFace span indices are word-based not character-based.\n    pre = \" \".join(raw_passage.split()[: x[\"span2_index\"]])\n    post = raw_passage[len(pre) + len(x[\"span2_text\"]) + 1 :]\n    passage = general_detokenize(pre + \" *{}*\".format(x[\"span2_text\"]) + post)\n    noun = x[\"span1_text\"]\n    pronoun = x[\"span2_text\"]\n    text = (\n        f\"Passage: {passage}\\n\"\n        + f'Question: In the passage above, does the pronoun \"*{pronoun}*\" refer to \"*{noun}*\"?\\n'\n        + \"Answer:\"\n    )\n    return text\n",
+      "doc_to_target": "label",
+      "doc_to_choice": [
+        "no",
+        "yes"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc"
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "wsc": 1.0
+  },
+  "n-shot": {
+    "wsc": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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diff --git a/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json b/lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc273/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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@@ -0,0 +1,58 @@
+{
+  "results": {
+    "wsc273": {
+      "acc,none": 0.8168498168498168,
+      "acc_stderr,none": 0.023452564261705,
+      "alias": "wsc273"
+    }
+  },
+  "configs": {
+    "wsc273": {
+      "task": "wsc273",
+      "dataset_path": "winograd_wsc",
+      "dataset_name": "wsc273",
+      "test_split": "test",
+      "process_docs": "def process_doc(dataset):\n    def process_fn(doc):\n        # The HF implementation of `wsc273` is not `partial evaluation` friendly.\n        doc[\"text\"] = doc[\"text\"].replace(\"  \", \" \")\n        doc[\"options\"][0] = __normalize_option(doc, doc[\"options\"][0])\n        doc[\"options\"][1] = __normalize_option(doc, doc[\"options\"][1])\n        return doc\n\n    return dataset.map(process_fn)\n",
+      "doc_to_text": "label",
+      "doc_to_target": "{% set index = pronoun_loc + pronoun | length %}{{text[index:]}}",
+      "doc_to_choice": "{% set template = text[:pronoun_loc] %}{{[template+options[0], template+options[1]]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "text",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "wsc273": 1.0
+  },
+  "n-shot": {
+    "wsc273": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "8281e96"
+}
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