qualcomm
/

Phi-3.5-mini-instruct

@@ -11,17 +11,19 @@ pipeline_tag: text-generation
 ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/phi_3_5_mini_instruct/web-assets/model_demo.png)
-# Phi-3.5-mini-instruct: Optimized for Mobile Deployment
 ## State-of-the-art large language model useful on a variety of language understanding and generation tasks
 Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
-This model is an implementation of Phi-3.5-mini-instruct found [here](https://huggingface.co/microsoft/Phi-3.5-mini-instruct).
  More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/phi_3_5_mini_instruct).
 ### Model Details
 - **Model Type:** Model_use_case.text_generation
@@ -53,7 +55,7 @@ Please follow the [LLM on-device deployment](https://github.com/quic/ai-hub-apps
 ## License
-* The license for the original implementation of Phi-3.5-mini-instruct can be found
   [here](https://huggingface.co/microsoft/Phi-3.5-mini-instruct/blob/main/LICENSE).
 * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)

 ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/phi_3_5_mini_instruct/web-assets/model_demo.png)
+# Phi-3.5-Mini-Instruct: Optimized for Mobile Deployment
 ## State-of-the-art large language model useful on a variety of language understanding and generation tasks
 Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
+This model is an implementation of Phi-3.5-Mini-Instruct found [here](https://huggingface.co/microsoft/Phi-3.5-mini-instruct).
  More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/phi_3_5_mini_instruct).
 ### Model Details
 - **Model Type:** Model_use_case.text_generation
 ## License
+* The license for the original implementation of Phi-3.5-Mini-Instruct can be found
   [here](https://huggingface.co/microsoft/Phi-3.5-mini-instruct/blob/main/LICENSE).
 * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)