Update README.md

README.md

@@ -12,6 +12,101 @@ base_model:
 pipeline_tag: text-generation
 tags:
 - merge
+model-index:
+- name: ZYH-LLM-Qwen2.5-14B-V3
+  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: 85.78
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      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: 48.18
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      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: 52.72
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      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: 10.96
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      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: 9.00
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      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: 43.12
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3
+      name: Open LLM Leaderboard
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e174e202fa032de4143324/8YkBIMWfWNXm0dbNwj2HH.png)
 # ZYH-LLM-Qwen2.5-14B-V3
@@ -19,6 +114,22 @@ This is the third-generation model of the **ZYH-LLM series**.
 
 It employs a large amount of model merging techniques, aiming to provide a **powerful and unified 14-billion-parameter model**, laying a solid foundation for further model merging and model fine-tuning.
 
+# As of February 25, 2025, the 14B model with the highest IFEval score
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e174e202fa032de4143324/e2dZMCmjF4utR07q9yjAx.png)
+
+# [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/YOYO-AI__ZYH-LLM-Qwen2.5-14B-V3-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |41.63|
+|IFEval (0-Shot)    |85.78|
+|BBH (3-Shot)       |48.18|
+|MATH Lvl 5 (4-Shot)|52.72|
+|GPQA (0-shot)      |10.96|
+|MuSR (0-shot)      |9.00|
+|MMLU-PRO (5-shot)  |43.12|
+
 The following are the specific details of model merging, hoping to inspire you:
 
 ## First stage: