This is just a testing version.
Download convert tool
$ git clone https://github.com/airockchip/rknn-llm.git
Install convert environment
Follow this docs to install Conda on PC Linux.
https://conda.io/projects/conda/en/stable/user-guide/install/linux.html
After installing, create a new conda environment.
$ conda create -n RKLLM-Toolkit python=3.8
$ conda activate RKLLM-Toolkit #activate
$ conda deactivate #deactivate
Install dependencies
$ cd rknn-llm/rkllm-toolkit/packages
$ pip3 install rkllm_toolkit-1.0.0-cp38-cp38-linux_x86_64.whl
Check whether install successfully.
$ python
$ from rkllm.api import RKLLM
Convert
Download Qwen-1.8B-Chat model in rknn-llm/rkllm-toolkit/examples/huggingface
$ cd rknn-llm/rkllm-toolkit/examples/huggingface
$ git lfs install
$ git clone https://huggingface.co/Qwen/Qwen-1_8B-Chat
Modify ‘’test.py’’ as follows.
diff --git a/rkllm-toolkit/examples/huggingface/test.py b/rkllm-toolkit/examples/huggingface/test.py
index c253fe4..406ad37 100644
--- a/rkllm-toolkit/examples/huggingface/test.py
+++ b/rkllm-toolkit/examples/huggingface/test.py
@@ -5,7 +5,7 @@ https://huggingface.co/Qwen/Qwen-1_8B-Chat
Download the Qwen model from the above website.
-modelpath = '/path/to/your/model'
+modelpath = './Qwen-1_8B-Chat'
llm = RKLLM()
# Load model
Run ‘’test.py’’ to generate rkllm model.
$ python test.py
Model ‘’qwen.rkllm’’ will generate in ‘’knn-llm/rkllm-toolkit/examples/huggingface’’.
Run on Edge2
The code is ‘’rknn-llm/rkllm-runtime’’. You can git clone again on Edge2 or copy from PC. Then pull ‘’qwen.rkllm’’ in ‘’rknn-llm/rkllm-runtime/example’’.
Modify ‘’rknn-llm/rkllm-runtime/example/build-linux.sh’’ as follows.
diff --git a/rkllm-runtime/example/build-linux.sh b/rkllm-runtime/example/build-linux.sh
index 712b3be..bc5c575 100644
--- a/rkllm-runtime/example/build-linux.sh
+++ b/rkllm-runtime/example/build-linux.sh
@@ -4,7 +4,7 @@ if [[ -z ${BUILD_TYPE} ]];then
BUILD_TYPE=Release
fi
-GCC_COMPILER_PATH=~/gcc-arm-10.2-2020.11-x86_64-aarch64-none-linux-gnu/bin/aarch64-none-linux-gnu
+GCC_COMPILER_PATH=aarch64-linux-gnu
C_COMPILER=${GCC_COMPILER_PATH}-gcc
CXX_COMPILER=${GCC_COMPILER_PATH}-g++
STRIP_COMPILER=${GCC_COMPILER_PATH}-strip
Then, compile and run.
$ cd rknn-llm/rkllm-runtime/example
$ bash build-linux.sh
$ export LD_LIBRARY_PATH=/home/khadas/rkllm-runtime/runtime/Linux/librkllm_api/aarch64/librkllmrt.so
$ cd build/build_linux_aarch64_Release
$ ulimit -n 10240
$ ./llm_demo ../../qwen.rkllm
