Update README.md

README.md

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 ---
 license: apache-2.0
 base_model: mistralai/Mistral-7B-Instruct-v0.3
+
+model-index:
+- name: Mistral-7B-Instruct-v0.3-GPTQ-4bit
+  results:
+  # AI2 Reasoning Challenge (25-Shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+       - type: acc_norm
+         name: normalized accuracy
+         value: 63.40
+  # HellaSwag (10-shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+       - type: acc_norm
+         name: normalized accuracy
+         value: 84.04
+  # TruthfulQA (0-shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+       - type: mc2
+         value: 57.48
+  # GSM8k (5-shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+       - type: acc
+         name: accuracy
+         value: 45.41
+  # MMLU (5-Shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+       - type: acc
+         name: accuracy
+         value: 61.07
+  # Winogrande (5-shot)
+  - task: 
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+       - type: acc
+         name: accuracy
+         value: 79.08
+
 ---
 
 # Model Card for Mistral-7B-Instruct-v0.3 quantized to 4bit weights