diff --git a/examples/LLMs/README.md b/examples/LLMs/README.md
index 71a0317..e625c95 100644
--- a/examples/LLMs/README.md
+++ b/examples/LLMs/README.md
@@ -35,6 +35,13 @@ ADLA2: A311D2_3.2T / S905X5_4T
 | TinyLlama-1.1B-Chat-v0.4 | S905X5 | w8a8 | 64 | 320 | 256 | 733.01 | 6.28 | 1.11 |
 
 
+## Download Models
+
+Pre-quantized ADLA models are available on Hugging Face:
+
+- **Qwen2.5-1.5B (A311D2)**: [Hugging Face Repository](https://huggingface.co/Amlogic-NN/Qwen2.5-1.5B-Instruct-F16_quant_i8_adla/tree/main/a311d2)
+
+
 ## Compile
 
 ### CPP
diff --git a/examples/LLMs/readme.md b/examples/LLMs/readme.md
deleted file mode 100644
index c03a2d4..0000000
--- a/examples/LLMs/readme.md
+++ /dev/null
@@ -1,90 +0,0 @@
-# LLM Examples
-
-## Resource Requirements
-
-| Model | CPU | NPU | GPU |
-| :--- | :--- | :--- | :--- |
-| Qwen(0.5B) | Minimum cores: 4<br>DDR: 4G (2G reserved for NN) | At least 3.2T | NO |
-| Qwen(1.8B) | Minimum cores: 4<br>DDR: 8G (6G~6.5G reserved for NN) | At least 3.2T | NO |
-| Gemma(2B) | Minimum cores: 4<br>DDR: 8G (5.5G~6G reserved for NN) | At least 3.2T | NO |
-
-
- ## Performance 
-
-ADLA2: A311D2_3.2T / S905X5_4T
-
-| LLM Model | SOC | Dtype | Seqlen | Max_Context | New_Tokens | TTFT(ms) | Tokens/s | memory(G) |
-| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
-| DeepSeek-R1 | A311D2 | w8a8 | 64 | 320 | 256 | 927.79 | 4.95 | 1.99 |
-| DeepSeek-R1 | S905X5 | w8a8 | 64 | 320 | 256 | 514.86 | 4.47 | 1.73 |
-| Gemma-2B | A311D2 | w8a8 | 64 | 320 | 256 | 846.66 | 2.64 | 3.93 |
-| Gemma-2B | S905X5 | w8a8 | 64 | 320 | 256 | 482.92 | 3.08 | 2.77 |
-| Gemma-3-1B | A311D2 | w8a8 | 64 | 320 | 256 | 702.88 | 5.08 | 1.9 |
-| Gemma-3-1B | S905X5 | w8a8 | 64 | 320 | 256 | 468.97 | 6.44 | 1.38 |
-| Llama3.2_1B | A311D2 | w8a8 | 64 | 320 | 256 | 711.64 | 5.92 | 1.69 |
-| Llama3.2_1B | S905X5 | w8a8 | 64 | 320 | 256 | 695.92 | 5.42 | 1.5 |
-| Qwen1.5_1.8B | A311D2 | w8a8 | 64 | 320 | 256 | 794.50 | 4.52 | 2.2 |
-| Qwen1.5_1.8B | S905X5 | w8a8 | 64 | 320 | 256 | 983.93 | 4.47 | 1.9 |
-| Qwen2.5_0.5B | A311D2 | w8a8 | 64 | 320 | 256 | 400.44 | 10.50 | 0.88 |
-| Qwen2.5_0.5B | S905X5 | w8a8 | 64 | 320 | 256 | 400.37 | 10.97 | 0.66 |
-| Qwen2.5_1.5B | A311D2 | w8a8 | 64 | 320 | 256 | 882.49 | 3.94 | 2.37 |
-| Qwen2.5_1.5B | S905X5 | w8a8 | 64 | 320 | 256 | 874.06 | 4.16 | 1.76 |
-| TinyLlama-1.1B-Chat-v1.0 | A311D2 | w8a8 | 64 | 320 | 256 | 763.07 | 6.51 | 1.31 |
-| TinyLlama-1.1B-Chat-v1.0 | S905X5 | w8a8 | 64 | 320 | 256 | 1161.82 | 5.85 | 1.15 |
-| TinyLlama-1.1B-Chat-v0.4 | A311D2 | w8a8 | 64 | 320 | 256 | 740.02 | 6.38 | 1.31 |
-| TinyLlama-1.1B-Chat-v0.4 | S905X5 | w8a8 | 64 | 320 | 256 | 733.01 | 6.28 | 1.11 |
-
-
-## Compile
-
-### CPP
-To compile the CPP project using Android NDK, follow these steps:
-
-1. **Get the llmsdk library and header files**:
-   Clone the `amlnn-toolkit` repository to get the necessary libraries for compilation.
-   ```bash
-   # Clone to the parent directory of amlnn-model-playground
-   git clone https://github.com/Amlogic-NN/amlnn-toolkit.git
-   ```
-
-2. **Set the NDK path**:
-   ```bash
-   export NDK_PATH=/your/ndk/path/android-ndk-r25c
-   ```
-
-3. **Add NDK to your PATH**:
-   ```bash
-   export PATH=$NDK_PATH:$PATH
-   ```
-
-4. **Compile**:
-   Navigate to the `cpp` directory and run `build-android.sh`:
-   ```bash
-   cd examples/LLMs/cpp
-   ./build-android.sh
-   ```
-
-5. **Run**:
-   Push the compiled executable, model, and tokenizer to your Android device.
-
-   Optional configuration:
-   - **Push `llmsdk.so`**: If not already present on the device, push it to `/data/local/tmp`.
-   - **Set permissions**:
-     ```bash
-     chmod +x demo_llm_main
-     ```
-   - **Set environment variable**:
-     ```bash
-     export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/vendor/lib64/:/data/local/tmp
-     ```
-
-   Then execute:
-   ```bash
-   ./demo_llm_main Qwen2.5-1.5B-Instruct-F16_quant_i8_t7c.adla tokenizer.json
-   ```
-
-## Result
-
-| Banner | Inference Result |
-| :---: | :---: |
-| ![llm-result0](./model/llm-result0.png) | ![llm-result](./model/llm_result.png) |
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