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README.md

@@ -1,10 +1,9 @@
 ---
 library_name: pytorch
-license: apache-2.0
+license: other
 tags:
 - llm
 - generative_ai
-- quantized
 - android
 pipeline_tag: text-generation
 
@@ -25,7 +24,7 @@ This model is an implementation of Qwen2-7B-Instruct found [here](https://github
 
 ### Model Details
 
-- **Model Type:** Text generation
+- **Model Type:** Model_use_case.text_generation
 - **Model Stats:**
   - Input sequence length for Prompt Processor: 128
   - Context length: 4096
@@ -49,9 +48,9 @@ This model is an implementation of Qwen2-7B-Instruct found [here](https://github
   - TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (4096 tokens).
   - Response Rate: Rate of response generation after the first response token.
 
-| Model | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
+| Model | Precision | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
 |---|---|---|---|---|---|
-| Qwen2-7B-Instruct | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 13.65 | 0.170593 - 5.458976 | -- | Use Export Script |
+| Qwen2.5-3B-Instruct | w4a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 13.65 | 0.170593 - 5.458976 | -- | Use Export Script |
 
 ## Deploying Qwen2-7B-Instruct on-device