Add minimum Qwen model version (#9606)

python/llm/example/CPU/HF-Transformers-AutoModels/Model/qwen/README.md

@@ -1,13 +1,19 @@
 # Qwen
+
 In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Qwen models. For illustration purposes, we utilize the [Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) as a reference Qwen model.
 
 ## 0. Requirements
+
 To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
 ## Example: Predict Tokens using `generate()` API
+
 In the example [generate.py](./generate.py), we show a basic use case for a Qwen model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations.
+
 ### 1. Install
+
 We suggest using conda to manage environment:
+
 ```bash
 conda create -n llm python=3.9
 conda activate llm
@@ -17,11 +23,15 @@ pip install tiktoken einops transformers_stream_generator  # additional package
 ```
 
 ### 2. Run
+
+The minimum Qwen model version currently supported by BigDL-LLM is the version on November 30, 2023.
+
 ```
 python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT
 ```
 
 Arguments info:
+
 - `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Qwen model to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'Qwen/Qwen-7B-Chat'`.
 - `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'AI是什么？'`.
 - `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
@@ -31,15 +41,19 @@ Arguments info:
 > Please select the appropriate size of the Qwen model based on the capabilities of your machine.
 
 #### 2.1 Client
+
 On client Windows machine, it is recommended to run directly with full utilization of all cores:
+
 ```powershell
 python ./generate.py 
 ```
 
 #### 2.2 Server
+
 For optimal performance on server, it is recommended to set several environment variables (refer to [here](../README.md#best-known-configuration-on-linux) for more information), and run the example with all the physical cores of a single socket.
 
 E.g. on Linux,
+
 ```bash
 # set BigDL-LLM env variables
 source bigdl-llm-init
@@ -50,7 +64,9 @@ numactl -C 0-47 -m 0 python ./generate.py
 ```
 
 #### 2.3 Sample Output
+
 #### [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat)
+
 ```log
 Inference time: xxxx s
 -------------------- Prompt --------------------