rubra-ai
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Phi-3-mini-128k-instruct

Text Generation

function-calling

text-generation-inference

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

sanjay920 commited on Jul 9

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5ca85ae

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1 Parent(s): e2ecb24

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@@ -72,6 +72,8 @@ The model is the result of further post-training [microsoft/Phi-3-mini-128k-inst
 | Phi-3 Mini 128k Instruct  (April)         | -                | 68.17 | 25.90 | 80.44  | 28.12 | 7.92     | 51  | 45   | 64  | 0.31875  | 0.28125   | **0.51875**       |
 | Rubra Enhanced Phi-3 Mini 128k Instruct (April) | 65.71%           | 66.66 | 29.24 | 74.09  | 26.84 | 7.45     | 45  | 51   | 64  | 0.28125  | 0.31875   | 0.48125           |
 ## Training Data
 The model underwent additional training on a proprietary dataset encompassing diverse instruction-following, chat, and function calling data. This post-training process enhances the model's ability to integrate tools and manage complex interaction scenarios effectively.

 | Phi-3 Mini 128k Instruct  (April)         | -                | 68.17 | 25.90 | 80.44  | 28.12 | 7.92     | 51  | 45   | 64  | 0.31875  | 0.28125   | **0.51875**       |
 | Rubra Enhanced Phi-3 Mini 128k Instruct (April) | 65.71%           | 66.66 | 29.24 | 74.09  | 26.84 | 7.45     | 45  | 51   | 64  | 0.28125  | 0.31875   | 0.48125           |
+* Commit `e2ecb24bd9dae689bb30dafcf13cbbc9dbddead5` is the last commit to have the April-based Phi-3 model. The latest in main is built off the June model
 ## Training Data
 The model underwent additional training on a proprietary dataset encompassing diverse instruction-following, chat, and function calling data. This post-training process enhances the model's ability to integrate tools and manage complex interaction scenarios effectively.