Add files using upload-large-folder tool

data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/5d71db98-e7e3-4ebc-8b7b-db5f674ba7e1.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi-Custom-Instruct/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen-2.5-14B-Hindi-Custom-Instruct",
+    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct",
+    "developer": "1-800-LLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6284
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4491
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5164
+      }
+    }
+  ]
+}

data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi/02af5e77-85c3-4fb8-a5c1-acced5a9a95c.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen-2.5-14B-Hindi",
+    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi",
+    "developer": "1-800-LLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5826
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    }
+  ]
+}

data/hfopenllm_v2/1024m/PHI-4-Hindi/e7f58180-d49d-4633-8e0b-5763483b0f0a.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1024m_PHI-4-Hindi/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "PHI-4-Hindi",
+    "id": "1024m/PHI-4-Hindi",
+    "developer": "1024m",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "14.66"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.671
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2334
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5239
+      }
+    }
+  ]
+}

data/hfopenllm_v2/1024m/QWEN-14B-B100/bd4ff647-d771-4e3e-a070-b4f6327dd1bd.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1024m_QWEN-14B-B100/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "QWEN-14B-B100",
+    "id": "1024m/QWEN-14B-B100",
+    "developer": "1024m",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.41
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5179
+      }
+    }
+  ]
+}

data/hfopenllm_v2/152334H/miqu-1-70b-sf/a32b01c4-918e-4e4a-afcf-a9a97dfde08c.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/152334H_miqu-1-70b-sf/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "miqu-1-70b-sf",
+    "id": "152334H/miqu-1-70b-sf",
+    "developer": "152334H",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "68.977"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4582
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4228
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/821f3822-1d80-42e3-a02d-5c25cf0997e0.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-Instruct-preview/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.1-8B-Instruct-preview",
+    "id": "AALF/FuseChat-Llama-3.1-8B-Instruct-preview",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.719
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/efcd2e5b-81f4-469d-9feb-ef61a20626ae.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-SFT-preview/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.1-8B-SFT-preview",
+    "id": "AALF/FuseChat-Llama-3.1-8B-SFT-preview",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2251
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3743
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K-100steps/0c2120f6-faaf-4084-8ade-86d4fadf7012.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AALF_gemma-2-27b-it-SimPO-37K-100steps/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "gemma-2-27b-it-SimPO-37K-100steps",
+    "id": "AALF/gemma-2-27b-it-SimPO-37K-100steps",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": "27.227"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2568
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3931
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2125
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K/c26a0ad5-8c8b-41cb-9bf8-c90c10aabb48.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AALF_gemma-2-27b-it-SimPO-37K/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "gemma-2-27b-it-SimPO-37K",
+    "id": "AALF/gemma-2-27b-it-SimPO-37K",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": "27.227"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AGI-0/Art-v0-3B/5149fdfc-b81d-40d8-9d10-8745b9c9246d.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AGI-0_Art-v0-3B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Art-v0-3B",
+    "id": "AGI-0/Art-v0-3B",
+    "developer": "AGI-0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "3.086"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3192
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3401
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2462
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1179
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AGI-0/Artificium-llama3.1-8B-001/e36f7fb2-c1bf-4cc9-abe0-c2dbbc9aee4f.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AGI-0_Artificium-llama3.1-8B-001/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Artificium-llama3.1-8B-001",
+    "id": "AGI-0/Artificium-llama3.1-8B-001",
+    "developer": "AGI-0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5248
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AGI-0/smartllama3.1-8B-001/809e5d7e-ad34-47c9-a163-aeab392de665.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AGI-0_smartllama3.1-8B-001/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "smartllama3.1-8B-001",
+    "id": "AGI-0/smartllama3.1-8B-001",
+    "developer": "AGI-0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.467
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/03a2af23-bc65-4a65-9bff-38a023ced7aa.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-CoT/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "NuminaMath-7B-CoT",
+    "id": "AI-MO/NuminaMath-7B-CoT",
+    "developer": "AI-MO",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "6.91"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2696
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2868
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/43e22feb-15d2-4c51-b3e4-dddd749ec73f.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-TIR/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "NuminaMath-7B-TIR",
+    "id": "AI-MO/NuminaMath-7B-TIR",
+    "developer": "AI-MO",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "6.91"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2756
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1609
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3509
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2733
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AIDC-AI/Marco-o1/280dc626-fccb-4b3d-8a0c-1ae4596dde63.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AIDC-AI_Marco-o1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Marco-o1",
+    "id": "AIDC-AI/Marco-o1",
+    "developer": "AIDC-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "7.616"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4771
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3746
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Amaorynho/BBAI2006/c3d01c31-c3d1-456b-9ee4-270dbb1dcd78.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI2006/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "BBAI2006",
+    "id": "Amaorynho/BBAI2006",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "1.09"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Amaorynho/BBAI270V4/2263f1d1-5625-4696-aee3-7ff6fda061bf.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI270V4/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "BBAI270V4",
+    "id": "Amaorynho/BBAI270V4",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "7.616"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3071
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1114
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Amaorynho/BBAIIFEV1/3cefbe4b-47e7-4f4e-8d70-2f9947b099aa.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAIIFEV1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "BBAIIFEV1",
+    "id": "Amaorynho/BBAIIFEV1",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8047
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1934
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Amaorynho/BBAI_375/169c938f-8b77-4200-9956-24c238610f0f.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI_375/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "BBAI_375",
+    "id": "Amaorynho/BBAI_375",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "1.09"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}

data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/deb05c36-2943-4147-8fc7-7ccdea9ec0dd.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/ArliAI_ArliAI-RPMax-12B-v1.1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "ArliAI-RPMax-12B-v1.1",
+    "id": "ArliAI/ArliAI-RPMax-12B-v1.1",
+    "developer": "ArliAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "12.248"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5349
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4752
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3384
+      }
+    }
+  ]
+}

data/hfopenllm_v2/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/d42545d4-98a9-42a5-abbb-c3322b55a8cb.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/ArliAI_Llama-3.1-8B-ArliAI-RPMax-v1.1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-ArliAI-RPMax-v1.1",
+    "id": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1",
+    "developer": "ArliAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6359
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5016
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3577
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Aryanne/QwentileSwap/e7cb28c7-4247-41de-8cd4-ea8239f11c87.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Aryanne_QwentileSwap/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "QwentileSwap",
+    "id": "Aryanne/QwentileSwap",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "32.764"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4222
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.464
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5946
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Aryanne/SHBA/a9a06232-03b7-4964-a65d-f87d44a3ede0.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Aryanne_SHBA/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SHBA",
+    "id": "Aryanne/SHBA",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7817
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5233
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4161
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Aryanne/SuperHeart/2092100e-91b6-430b-87ad-7396b877989b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Aryanne_SuperHeart/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SuperHeart",
+    "id": "Aryanne/SuperHeart",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5192
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/Blossom-V6-14B/4126e88c-1863-464b-b60f-5f66a8dd5034.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-14B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Blossom-V6-14B",
+    "id": "Azure99/Blossom-V6-14B",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5069
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4544
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/Blossom-V6-7B/81912b39-77ad-44ee-9fa1-0d3c36f58e0a.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-7B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Blossom-V6-7B",
+    "id": "Azure99/Blossom-V6-7B",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "7.616"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5538
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4974
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/blossom-v5-32b/b87ad4b7-a564-4cd5-8fa9-a132ce2b4fa0.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5-32b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "blossom-v5-32b",
+    "id": "Azure99/blossom-v5-32b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "32.512"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1866
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/blossom-v5-llama3-8b/ba44549e-1db6-429b-be66-7b3ed1a713cf.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5-llama3-8b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "blossom-v5-llama3-8b",
+    "id": "Azure99/blossom-v5-llama3-8b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2206
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/blossom-v5.1-34b/7c7918df-6322-461e-81af-43ed8acf540a.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-34b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "blossom-v5.1-34b",
+    "id": "Azure99/blossom-v5.1-34b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "34.389"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2591
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Azure99/blossom-v5.1-9b/e5cd3ba4-b3bb-470d-b253-66fe17df0af9.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-9b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "blossom-v5.1-9b",
+    "id": "Azure99/blossom-v5.1-9b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.829"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5086
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2122
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3979
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/c8705ae9-1cfc-4b6b-8fe3-5161b8cb8712.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BSC-LT_salamandra-7b-instruct/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "salamandra-7b-instruct",
+    "id": "BSC-LT/salamandra-7b-instruct",
+    "developer": "BSC-LT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "7.768"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2451
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BSC-LT/salamandra-7b/a6617a8c-d010-4be8-96d4-55e9cf72c12d.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BSC-LT_salamandra-7b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "salamandra-7b",
+    "id": "BSC-LT/salamandra-7b",
+    "developer": "BSC-LT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "7.768"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1493
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/e35719ee-14a7-41d1-821f-10337ca66cbc.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Bloslain-8B-v0.2/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Bloslain-8B-v0.2",
+    "id": "BlackBeenie/Bloslain-8B-v0.2",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5023
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4076
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/3ca68408-dfb0-45c3-8602-d210cc2d7860.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Llama-3.1-8B-OpenO1-SFT-v0.1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-OpenO1-SFT-v0.1",
+    "id": "BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4787
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3492
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/3e77a78e-2a6a-4f94-928e-6c7dfda18f2b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Llama-3.1-8B-pythonic-passthrough-merge/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-pythonic-passthrough-merge",
+    "id": "BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "20.245"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2316
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3454
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1332
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Neos-Gemma-2-9b/344ebb1e-066c-4211-9d12-a903cad0ccd3.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Neos-Gemma-2-9b/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Neos-Gemma-2-9b",
+    "id": "BlackBeenie/Neos-Gemma-2-9b",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": "9.242"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5876
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5503
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-8B/6174ae5c-ebf5-4f62-b730-3d9c18360ab0.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Neos-Llama-3.1-8B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Neos-Llama-3.1-8B",
+    "id": "BlackBeenie/Neos-Llama-3.1-8B",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4944
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4425
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-base/f984b6b1-6c12-4cc0-876d-aec99c939dab.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Neos-Llama-3.1-base/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Neos-Llama-3.1-base",
+    "id": "BlackBeenie/Neos-Llama-3.1-base",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "4.65"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2374
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3499
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1112
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/Neos-Phi-3-14B-v0.1/e26d88f0-ec74-4f7c-a8e2-c2b340f9c40a.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Neos-Phi-3-14B-v0.1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Neos-Phi-3-14B-v0.1",
+    "id": "BlackBeenie/Neos-Phi-3-14B-v0.1",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": "13.96"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6212
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4125
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/llama-3-luminous-merged/b60a172c-5246-4d0f-9931-68da664de11e.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_llama-3-luminous-merged/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "llama-3-luminous-merged",
+    "id": "BlackBeenie/llama-3-luminous-merged",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5154
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4149
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3773
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/67057604-c916-45bb-97bc-435d78da5c61.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_llama-3.1-8B-Galore-openassistant-guanaco/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "llama-3.1-8B-Galore-openassistant-guanaco",
+    "id": "BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2635
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5213
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4406
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/8a5d8e24-e9d9-4e99-bce9-042b89df02e5.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Casual-Autopsy_L3-Umbral-Mind-RP-v2.0-8B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "L3-Umbral-Mind-RP-v2.0-8B",
+    "id": "Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B",
+    "developer": "Casual-Autopsy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7123
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3687
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/652affb4-31ba-481d-bdfb-7272ae46f38e.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DZgas_GIGABATEMAN-7B/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "GIGABATEMAN-7B",
+    "id": "DZgas/GIGABATEMAN-7B",
+    "developer": "DZgas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "7.242"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/5bc93cfd-54ad-4c39-9183-4119fbb7282b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Dampfinchen_Llama-3.1-8B-Ultra-Instruct/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Ultra-Instruct",
+    "id": "Dampfinchen/Llama-3.1-8B-Ultra-Instruct",
+    "developer": "Dampfinchen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8081
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/cb1ba164-1346-4cfd-8ade-047ddd8c1bd6.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Darkknight535_OpenCrystal-12B-L3/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "OpenCrystal-12B-L3",
+    "id": "Darkknight535/OpenCrystal-12B-L3",
+    "developer": "Darkknight535",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "11.52"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5223
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3657
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/26b9203f-278c-4e63-bd4c-c02991dc0014.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter0/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter0",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter0",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/e1b97cf2-8f96-4bae-a8b0-8a4211e3c906.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter0/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter0",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter0",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter1/98ae1055-9427-4ecd-9c02-0d8ec9ab6e8c.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter1/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter1",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter1",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.294
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3646
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter2/c7dc248b-d5b4-45ab-93fb-f0c741a7bfe2.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter2/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter2",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter2",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1376
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3553
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1129
+      }
+    }
+  ]
+}

data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/789dc9e0-3ba4-4acd-8171-338a8b382853.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter3/1782816182.5106287",
+  "retrieved_timestamp": "1782816182.5106287",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter3",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter3",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2975
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.35
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}