Updated and moved existing to merged_models base_model tag in README.md

README.md

@@ -1,131 +1,121 @@
 ---
+base_model: mlabonne/Monarch-7B
+inference: false
+language:
+- en
+library_name: transformers
 license: cc-by-nc-4.0
-tags:
-- merge
-- mergekit
-- lazymergekit
-- quantized
-- 4-bit
-- AWQ
-- text-generation
-- autotrain_compatible
-- endpoints_compatible
-- chatml
-base_model:
+merged_models:
 - mlabonne/OmniTruthyBeagle-7B-v0
 - mlabonne/NeuBeagle-7B
 - mlabonne/NeuralOmniBeagle-7B
 model-index:
 - name: Monarch-7B
   results:
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: AI2 Reasoning Challenge (25-Shot)
-      type: ai2_arc
-      config: ARC-Challenge
-      split: test
+  - dataset:
       args:
         num_few_shot: 25
+      config: ARC-Challenge
+      name: AI2 Reasoning Challenge (25-Shot)
+      split: test
+      type: ai2_arc
     metrics:
-    - type: acc_norm
+    - name: normalized accuracy
+      type: acc_norm
       value: 73.04
-      name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-  - task:
-      type: text-generation
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
       name: Text Generation
-    dataset:
-      name: HellaSwag (10-Shot)
-      type: hellaswag
-      split: validation
+      type: text-generation
+  - dataset:
       args:
         num_few_shot: 10
+      name: HellaSwag (10-Shot)
+      split: validation
+      type: hellaswag
     metrics:
-    - type: acc_norm
+    - name: normalized accuracy
+      type: acc_norm
       value: 89.03
-      name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-  - task:
-      type: text-generation
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
       name: Text Generation
-    dataset:
-      name: MMLU (5-Shot)
-      type: cais/mmlu
-      config: all
-      split: test
+      type: text-generation
+  - dataset:
       args:
         num_few_shot: 5
+      config: all
+      name: MMLU (5-Shot)
+      split: test
+      type: cais/mmlu
     metrics:
-    - type: acc
+    - name: accuracy
+      type: acc
       value: 64.41
-      name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-  - task:
-      type: text-generation
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
       name: Text Generation
-    dataset:
-      name: TruthfulQA (0-shot)
-      type: truthful_qa
-      config: multiple_choice
-      split: validation
+      type: text-generation
+  - dataset:
       args:
         num_few_shot: 0
+      config: multiple_choice
+      name: TruthfulQA (0-shot)
+      split: validation
+      type: truthful_qa
     metrics:
     - type: mc2
       value: 77.35
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-  - task:
-      type: text-generation
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
       name: Text Generation
-    dataset:
-      name: Winogrande (5-shot)
-      type: winogrande
-      config: winogrande_xl
-      split: validation
+      type: text-generation
+  - dataset:
       args:
         num_few_shot: 5
+      config: winogrande_xl
+      name: Winogrande (5-shot)
+      split: validation
+      type: winogrande
     metrics:
-    - type: acc
+    - name: accuracy
+      type: acc
       value: 84.61
-      name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-  - task:
-      type: text-generation
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
       name: Text Generation
-    dataset:
-      name: GSM8k (5-shot)
-      type: gsm8k
-      config: main
-      split: test
+      type: text-generation
+  - dataset:
       args:
         num_few_shot: 5
+      config: main
+      name: GSM8k (5-shot)
+      split: test
+      type: gsm8k
     metrics:
-    - type: acc
+    - name: accuracy
+      type: acc
       value: 69.07
-      name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
       name: Open LLM Leaderboard
-library_name: transformers
-language:
-- en
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Monarch-7B
+    task:
+      name: Text Generation
+      type: text-generation
 model_creator: mlabonne
 model_name: Darewin-7B
 model_type: mistral
 pipeline_tag: text-generation
-inference: false
 prompt_template: '<|im_start|>system
 
   {system_message}<|im_end|>
@@ -138,6 +128,17 @@ prompt_template: '<|im_start|>system
 
   '
 quantized_by: Suparious
+tags:
+- merge
+- mergekit
+- lazymergekit
+- quantized
+- 4-bit
+- AWQ
+- text-generation
+- autotrain_compatible
+- endpoints_compatible
+- chatml
 ---
 # mlabonne/Monarch-7B AWQ