Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,7 +1,7 @@
 ---
-license: llama3.1
 language:
 - en
+license: llama3.1
 library_name: transformers
 tags:
 - mergekit
@@ -11,6 +11,101 @@ base_model:
 - NousResearch/Hermes-3-Llama-3.1-70B
 - abacusai/Dracarys-Llama-3.1-70B-Instruct
 - VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
+model-index:
+- name: Brinebreath-Llama-3.1-70B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 55.33
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 55.46
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 29.98
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 12.86
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 17.49
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 46.62
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gbueno86/Brinebreath-Llama-3.1-70B
+      name: Open LLM Leaderboard
 ---
 
 
@@ -136,4 +231,17 @@ Note: PubmedQA tested with 100 questions.
 --------------
 If you are hiring in the EU or can sponsor a visa, PM me :D
 
-PS. Thank you mradermacher for the GGUFs!
+PS. Thank you mradermacher for the GGUFs!
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_gbueno86__Brinebreath-Llama-3.1-70B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |36.29|
+|IFEval (0-Shot)    |55.33|
+|BBH (3-Shot)       |55.46|
+|MATH Lvl 5 (4-Shot)|29.98|
+|GPQA (0-shot)      |12.86|
+|MuSR (0-shot)      |17.49|
+|MMLU-PRO (5-shot)  |46.62|
+