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

@@ -1,14 +1,18 @@
 ---
-inference: false
+language:
+- en
+license: apache-2.0
+library_name: transformers
 tags:
 - merge
 - mergekit
 - lazymergekit
+inference: false
 base_model:
 - senseable/Westlake-7B
 - Guilherme34/Samantha-v2
 - uukuguy/speechless-mistral-six-in-one-7b
-license: apache-2.0
+pipeline_tag: text-generation
 model-index:
 - name: sethuiyer/Nandine-7b
   results:
@@ -27,8 +31,7 @@ model-index:
       value: 69.28
       name: normalized accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -44,8 +47,7 @@ model-index:
       value: 87.01
       name: normalized accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -62,8 +64,7 @@ model-index:
       value: 64.83
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -79,8 +80,7 @@ model-index:
     - type: mc2
       value: 62.1
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -97,8 +97,7 @@ model-index:
       value: 83.19
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -115,13 +114,8 @@ model-index:
       value: 62.4
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Nandine-7b
       name: Open LLM Leaderboard
-language:
-- en
-library_name: transformers
-pipeline_tag: text-generation
 ---
 
 # Nandine-7b
@@ -225,4 +219,17 @@ GGUF files are available at [Nandine-7b-GGUF](https://huggingface.co/sethuiyer/N
 ## Ollama
 Nandine is now available on Ollama. You can use it by running the command ```ollama run stuehieyr/nandine``` in your 
 terminal. If you have limited computing resources, check out this [video](https://www.youtube.com/watch?v=Qa1h7ygwQq8) to learn how to run it on 
-a Google Colab backend.
+a Google Colab backend.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__Nandine-7b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.47|
+|AI2 Reasoning Challenge (25-Shot)|69.28|
+|HellaSwag (10-Shot)              |87.01|
+|MMLU (5-Shot)                    |64.83|
+|TruthfulQA (0-shot)              |62.10|
+|Winogrande (5-shot)              |83.19|
+|GSM8k (5-shot)                   |62.40|
+