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README.md

@@ -4,7 +4,6 @@ license: other
 tags:
 - llm
 - generative_ai
-- quantized
 - android
 pipeline_tag: text-generation
 
@@ -21,7 +20,7 @@ Allam 7B is SDAIA's first generation edge model, optimized for performance on Sn
 
 ### Model Details
 
-- **Model Type:** Text generation
+- **Model Type:** Model_use_case.text_generation
 - **Model Stats:**
   - Input sequence length for Prompt Processor: 128
   - Max context length: 1024
@@ -34,9 +33,8 @@ Allam 7B is SDAIA's first generation edge model, optimized for performance on Sn
   - 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)
-|---|---|---|---|---|---|
-| ALLaM-7B-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 9.5 | 0.23854499999999998 - 1.399168 | -- | -- |
+| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
+|---|---|---|---|---|---|---|---|---|
 
 ## Deploy Allam 7B on Snapdragon X Elite NPU