update new Phi3 model benchmark number

rubra-ai · Jul 9, 2024 · 5d09c65 · 5d09c65
1 parent eb30d06
commit 5d09c65
Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/README.md b/README.md
@@ -47,7 +47,7 @@ View full benchmark results for Rubra models and other models here: https://docs
 | [**Rubra Llama-3 8B Instruct**](https://huggingface.co/rubra-ai/Meta-Llama-3-8B-Instruct)        | 89.28%           | 64.39         | 31.70         | 68.99                | 23.76              | 8.03     |
 | [**Rubra Qwen2 7B Instruct**](https://huggingface.co/rubra-ai/Qwen2-7B-Instruct)                 | 85.71%           | 68.88         | 30.36         | 75.82                | 28.72              | 8.08     |
 | [**Rubra Mistral 7B Instruct v0.3**](https://huggingface.co/rubra-ai/Mistral-7B-Instruct-v0.3)   | 73.57%           | 59.12         | 29.91         | 43.29                | 11.14              | 7.69     |
-| [**Rubra Phi-3 Mini 128k Instruct**](https://huggingface.co/rubra-ai/Phi-3-mini-128k-instruct)   | 65.71%           | 66.66         | 29.24         | 74.09                | 26.84              | 7.45     |
+| [**Rubra Phi-3 Mini 128k Instruct**](https://huggingface.co/rubra-ai/Phi-3-mini-128k-instruct)   | 70.00%           | 66.66         | 29.24         | 74.09                | 26.84              | 7.45     |
 | [**Rubra Mistral 7B Instruct v0.2**](https://huggingface.co/rubra-ai/Mistral-7B-Instruct-v0.2)   | 69.28%           | 58.90         | 29.91         | 34.12                | 8.36               | 7.36     |
 | [**Rubra Gemma-1.1 2B Instruct**](https://huggingface.co/rubra-ai/gemma-1.1-2b-it)               | 45.00%           | 38.85         | 24.55         | 6.14                 | 2.38               | 5.75     |
 

diff --git a/docs/src/components/BenchmarkTable.js b/docs/src/components/BenchmarkTable.js
@@ -126,7 +126,7 @@ const data = [
     {
         model: 'Rubra Phi-3 Mini 128k Instruct',
         params: 4.27,
-        functionCalling: '65.71%',
+        functionCalling: '70.00%',
         mmlu: '66.66',
         gpqa: '29.24',
         gsm8k: '74.09',