Adding Evaluation Results

README.md

@@ -1,13 +1,116 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 library_name: transformers
 tags:
 - Mixtral 8x7B
 - Mistral
 - merge
 - moe
+model-index:
+- name: radiantloom-mixtral-8x7b-fusion
+  results:
+  - 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
+      value: 63.48
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
+  - 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
+      value: 83.65
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
+  - 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
+      value: 60.03
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
+  - 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: 54.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
+  - 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
+      value: 76.09
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
+  - 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
+      value: 53.45
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGeekLabs/radiantloom-mixtral-8x7b-fusion
+      name: Open LLM Leaderboard
 ---
 <img src="https://huggingface.co/aigeek0x0/radiantloom-mixtral-8x7b-fusion/resolve/main/Radiantloom-Mixtral-8x7B-Fusion.png" alt="Radiantloom Mixtral 8X7B Fusion" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
@@ -166,4 +269,17 @@ We are passionate about contributing open-source AI models to the broader AI com
 
 Your support goes a long way in helping us cover training costs, fund development tools, and keep the project thriving. Every coffee you buy is a small but meaningful contribution that fuels our dedication to providing a top-notch experience for users like you.
 
-[Buy us a coffee](https://www.buymeacoffee.com/aigeek_) and be a part of our journey towards making this project even more awesome. We appreciate your support!
+[Buy us a coffee](https://www.buymeacoffee.com/aigeek_) and be a part of our journey towards making this project even more awesome. We appreciate your support!
+# [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_AIGeekLabs__radiantloom-mixtral-8x7b-fusion)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |65.24|
+|AI2 Reasoning Challenge (25-Shot)|63.48|
+|HellaSwag (10-Shot)              |83.65|
+|MMLU (5-Shot)                    |60.03|
+|TruthfulQA (0-shot)              |54.76|
+|Winogrande (5-shot)              |76.09|
+|GSM8k (5-shot)                   |53.45|
+