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Meta-Llama-3.1-70B-Instruct-quantized.w8a8

Text Generation
Transformers
Safetensors
llama
int8
vllm
conversational
text-generation-inference
8-bit precision
compressed-tensors
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@@ -179,9 +179,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>MMLU (5-shot)
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  </td>
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- <td>83.94
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  </td>
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- <td>83.71
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  </td>
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  <td>99.7%
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  </td>
@@ -189,9 +189,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>MMLU (CoT, 0-shot)
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  </td>
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- <td>86.23
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  </td>
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- <td>85.81
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  </td>
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  <td>99.5%
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  </td>
@@ -199,9 +199,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>ARC Challenge (0-shot)
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  </td>
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- <td>93.34
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  </td>
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- <td>93.09
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  </td>
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  <td>99.7%
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  </td>
@@ -209,9 +209,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>GSM-8K (CoT, 8-shot, strict-match)
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  </td>
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- <td>95.38
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  </td>
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- <td>94.24
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  </td>
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  <td>98.8%
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  </td>
@@ -219,9 +219,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>Hellaswag (10-shot)
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  </td>
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- <td>86.66
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  </td>
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- <td>86.65
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  </td>
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  <td>100.0%
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  </td>
@@ -229,9 +229,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>Winogrande (5-shot)
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  </td>
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- <td>85.32
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  </td>
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- <td>85.10
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  </td>
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  <td>100.1%
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  </td>
@@ -239,9 +239,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td>TruthfulQA (0-shot, mc2)
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  </td>
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- <td>60.65
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  </td>
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- <td>61.43
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  </td>
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  <td>101.3%
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  </td>
@@ -249,9 +249,9 @@ Detailed model outputs are available as HuggingFace datasets for [Arena-Hard](ht
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  <tr>
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  <td><strong>Average</strong>
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  </td>
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- <td><strong>84.50</strong>
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  </td>
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- <td><strong>84.33</strong>
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  </td>
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  <td><strong>99.9%</strong>
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  </td>
 
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  <tr>
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  <td>MMLU (5-shot)
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  </td>
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+ <td>83.9
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  </td>
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+ <td>83.7
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  </td>
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  <td>99.7%
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  </td>
 
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  <tr>
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  <td>MMLU (CoT, 0-shot)
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  </td>
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+ <td>86.2
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  </td>
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+ <td>85.8
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  </td>
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  <td>99.5%
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  </td>
 
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  <tr>
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  <td>ARC Challenge (0-shot)
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  </td>
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+ <td>93.3
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  </td>
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+ <td>93.1
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  </td>
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  <td>99.7%
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  </td>
 
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  <tr>
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  <td>GSM-8K (CoT, 8-shot, strict-match)
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  </td>
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+ <td>95.4
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  </td>
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+ <td>94.2
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  </td>
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  <td>98.8%
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  </td>
 
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  <tr>
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  <td>Hellaswag (10-shot)
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  </td>
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+ <td>86.7
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  </td>
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+ <td>86.7
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  </td>
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  <td>100.0%
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  </td>
 
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  <tr>
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  <td>Winogrande (5-shot)
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  </td>
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+ <td>85.3
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  </td>
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+ <td>85.1
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  </td>
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  <td>100.1%
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  </td>
 
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  <tr>
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  <td>TruthfulQA (0-shot, mc2)
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  </td>
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+ <td>60.7
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  </td>
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+ <td>61.4
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  </td>
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  <td>101.3%
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  </td>
 
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  <tr>
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  <td><strong>Average</strong>
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  </td>
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+ <td><strong>84.5</strong>
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  </td>
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+ <td><strong>84.3</strong>
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  </td>
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  <td><strong>99.9%</strong>
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  </td>