Adding Evaluation Results (#1)

- Adding Evaluation Results (f582c4c5f613098adc5ff30e64845d2caad067d2)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

README.md

@@ -50,6 +50,109 @@ inference: false
 model_creator: one-man-army
 pipeline_tag: text-generation
 quantized_by: MaziyarPanahi
+model-index:
+- name: UNA-34Beagles-32K-bf16-v1-GPTQ
+  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: 26.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      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: 26.29
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      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: 24.43
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      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: 47.27
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      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: 50.83
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      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: 0.0
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ
+      name: Open LLM Leaderboard
 ---
 # Description
 [MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ](https://huggingface.co/MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ) is a quantized (GPTQ) version of [one-man-army/UNA-34Beagles-32K-bf16-v1](https://huggingface.co/one-man-army/UNA-34Beagles-32K-bf16-v1)
@@ -97,4 +200,17 @@ pipe = pipeline(
 
 outputs = pipe("What is a large language model?")
 print(outputs[0]["generated_text"])
-```
+```
+# [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_MaziyarPanahi__UNA-34Beagles-32K-bf16-v1-GPTQ)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |29.15|
+|AI2 Reasoning Challenge (25-Shot)|26.11|
+|HellaSwag (10-Shot)              |26.29|
+|MMLU (5-Shot)                    |24.43|
+|TruthfulQA (0-shot)              |47.27|
+|Winogrande (5-shot)              |50.83|
+|GSM8k (5-shot)                   | 0.00|
+