Update README.md

README.md

@@ -14,137 +14,6 @@ datasets:
 - WizardLMTeam/WizardLM_evol_instruct_V2_196k
 - ProlificAI/social-reasoning-rlhf
 pipeline_tag: text-generation
-model-index:
-- name: Llama-3.2-SUN-2.4B-v1.0.0
-  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: 56.37
-      name: strict accuracy
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 55.37
-      name: strict accuracy
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 55.37
-      name: strict accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      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: 7.21
-      name: normalized accuracy
-    - type: acc_norm
-      value: 7.17
-      name: normalized accuracy
-    - type: acc_norm
-      value: 7.17
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      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: 4.83
-      name: exact match
-    - type: exact_match
-      value: 1.28
-      name: exact match
-    - type: exact_match
-      value: 1.28
-      name: exact match
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      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: 1.01
-      name: acc_norm
-    - type: acc_norm
-      value: 0.45
-      name: acc_norm
-    - type: acc_norm
-      value: 0.45
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      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: 3.02
-      name: acc_norm
-    - type: acc_norm
-      value: 0.13
-      name: acc_norm
-    - type: acc_norm
-      value: 0.13
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      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: 6.03
-      name: accuracy
-    - type: acc
-      value: 7.17
-      name: accuracy
-    - type: acc
-      value: 7.17
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
-      name: Open LLM Leaderboard
 ---
 
 # MedIT SUN 2.5B
@@ -183,31 +52,3 @@ As the model is still in training, performance and capabilities may vary. Users
 
 **Disclaimer and Safety Considerations**
 The Model is designed to be used as a smart assistant but not as a knowledge source within your applications, systems, or environments. It is not intended to provide 100% accurate answers, especially in scenarios where high precision and accuracy are 
-
-# [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_meditsolutions__Llama-3.2-SUN-2.5B-chat)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |11.93|
-|IFEval (0-Shot)    |55.37|
-|BBH (3-Shot)       | 7.17|
-|MATH Lvl 5 (4-Shot)| 1.28|
-|GPQA (0-shot)      | 0.45|
-|MuSR (0-shot)      | 0.13|
-|MMLU-PRO (5-shot)  | 7.17|
-
-
-# [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_meditsolutions__Llama-3.2-SUN-2.5B-chat)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |11.93|
-|IFEval (0-Shot)    |55.37|
-|BBH (3-Shot)       | 7.17|
-|MATH Lvl 5 (4-Shot)| 1.28|
-|GPQA (0-shot)      | 0.45|
-|MuSR (0-shot)      | 0.13|
-|MMLU-PRO (5-shot)  | 7.17|
-