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README.md

@@ -1,16 +1,15 @@
 ---
 library_name: pytorch
-license: llama3
+license: other
 tags:
 - llm
 - generative_ai
-- quantized
 - android
 pipeline_tag: text-generation
 
 ---
 
-![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/llama_v3_1_8b_chat_quantized/web-assets/model_demo.png)
+![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/llama_v3_1_8b_chat/web-assets/model_demo.png)
 
 # Llama-v3.1-8B-Chat: Optimized for Mobile Deployment
 ## State-of-the-art large language model useful on a variety of language understanding and generation tasks
@@ -21,11 +20,11 @@ Llama 3 is a family of LLMs. The "Chat" at the end indicates that the model is o
 This model is an implementation of Llama-v3.1-8B-Chat found [here](https://github.com/meta-llama/llama3/tree/main).
 
 
- More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/llama_v3_1_8b_chat_quantized).
+ More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/llama_v3_1_8b_chat).
 
 ### 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
@@ -45,10 +44,8 @@ This model is an implementation of Llama-v3.1-8B-Chat found [here](https://githu
   - 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)
-|---|---|---|---|---|---|
-| Llama-v3.1-8B-Chat | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 13.0546 | 0.154517 - 4.944544 | -- | -- |
-| Llama-v3.1-8B-Chat | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 9.357 | 0.207727 - 6.647264 | -- | -- |
+| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
+|---|---|---|---|---|---|---|---|---|
 
 ## Deploying Llama 3.1 on-device