Uing bigdl-llm-init instead of bigdl-nano-init (#9558)

* Replace `bigdl-nano-init` with `bigdl-llm-init`.
* Install `bigdl-llm` instead of `bigdl-nano`.
* Remove nano in README.

python/llm/example/CPU/Applications/hf-agent/README.md

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ/README.md

@@ -48,7 +48,7 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
+# set BigDL-LLM env variables
 source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket

python/llm/example/CPU/HF-Transformers-AutoModels/Advanced-Quantizations/GPTQ/README.md

@@ -43,8 +43,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -7,8 +7,8 @@ To run the examples, we recommend using Intel® Xeon® processors (server), or >
 For OS, BigDL-LLM supports Ubuntu 20.04 or later, CentOS 7 or later, and Windows 10/11.
 
 ## Best Known Configuration on Linux
-For better performance, it is recommended to set environment variables on Linux with the help of BigDL-Nano:
+For better performance, it is recommended to set environment variables on Linux with the help of BigDL-LLM:
 ```bash
-pip install bigdl-nano
-source bigdl-nano-init
+pip install bigdl-llm
+source bigdl-llm-init
 ```

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/aquila2/README.md

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/baichuan2/README.md

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/chatglm2/README.md

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48
@@ -118,8 +118,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/chatglm3/README.md

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48
@@ -119,8 +119,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -47,8 +47,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v1/README.md

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v2/README.md

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -70,8 +70,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/flan-t5/README.md

@@ -37,8 +37,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -38,8 +38,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -59,8 +59,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/llama2/README.md

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/phi-1_5/README.md

@@ -42,8 +42,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -35,8 +35,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -41,8 +41,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/HF-Transformers-AutoModels/Model/whisper/readme.md

@@ -43,8 +43,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48
@@ -102,8 +102,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. long segment recognize for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -40,8 +40,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

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

@@ -43,8 +43,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/README.md

@@ -7,8 +7,8 @@ To run the examples, we recommend using Intel® Xeon® processors (server), or >
 For OS, BigDL-LLM supports Ubuntu 20.04 or later, CentOS 7 or later, and Windows 10/11.
 
 ## Best Known Configuration on Linux
-For better performance, it is recommended to set environment variables on Linux with the help of BigDL-Nano:
+For better performance, it is recommended to set environment variables on Linux with the help of BigDL-LLM:
 ```bash
-pip install bigdl-nano
-source bigdl-nano-init
+pip install bigdl-llm
+source bigdl-llm-init
 ```

python/llm/example/CPU/PyTorch-Models/Model/aquila2/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/bark/README.md

@@ -45,8 +45,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/bert/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/chatglm/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/chatglm3/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/codellama/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/codeshell/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/distil-whisper/README.md

@@ -38,8 +38,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/flan-t5/README.md

@@ -37,8 +37,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/fuyu/README.md

@@ -38,8 +38,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/internlm-xcomposer/README.md

@@ -59,8 +59,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/llama2/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/llava/README.md

@@ -44,8 +44,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md

@@ -37,8 +37,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/openai-whisper/readme.md

@@ -44,8 +44,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/phi-1_5/README.md

@@ -33,8 +33,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/qwen-vl/README.md

@@ -35,8 +35,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/skywork/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/wizardcoder-python/README.md

@@ -32,8 +32,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48

python/llm/example/CPU/PyTorch-Models/Model/yi/README.md

@@ -38,8 +38,8 @@ For optimal performance on server, it is recommended to set several environment
 
 E.g. on Linux,
 ```bash
-# set BigDL-Nano env variables
-source bigdl-nano-init
+# set BigDL-LLM env variables
+source bigdl-llm-init
 
 # e.g. for a server with 48 cores per socket
 export OMP_NUM_THREADS=48