Add trainerv2 llm fine tuning

docs/en/kubeflow/how_to/assets/build-train-image/fine_tune_with_llamafactory.Containerfile

@@ -0,0 +1,24 @@
+FROM nvidia/cuda:12.6.3-cudnn-devel-ubuntu24.04
+
+RUN sed -i 's@//.*archive.ubuntu.com@//mirrors.ustc.edu.cn@g' /etc/apt/sources.list.d/ubuntu.sources && \
+sed -i 's/security.ubuntu.com/mirrors.ustc.edu.cn/g' /etc/apt/sources.list.d/ubuntu.sources && \
+apt-get update && \
+apt-get install -yq software-properties-common && \
+add-apt-repository ppa:deadsnakes/ppa && \
+apt-get update && \
+export DEBIAN_FRONTEND=noninteractive && \
+apt-get install -yq --no-install-recommends \
+python3.12 python3.12-venv python3.12-dev git git-lfs unzip curl ffmpeg default-libmysqlclient-dev build-essential pkg-config && \
+apt clean && rm -rf /var/lib/apt/lists/*
+
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1 && \
+update-alternatives --install /usr/bin/python python /usr/bin/python3.12 1 && \
+curl -LsSf https://astral.sh/uv/install.sh | UV_INSTALL_DIR=/usr/local/bin sh
+
+ENV UV_SYSTEM_PYTHON=1
+
+WORKDIR /opt
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen
+
+ENV PATH=$PATH:/opt/.venv/bin

docs/en/kubeflow/how_to/assets/build-train-image/pyproject.toml

@@ -0,0 +1,24 @@
+[project]
+name = "training-env"
+version = "0.1.0"
+requires-python = ">=3.11"
+dependencies = [
+    "llamafactory[metrics,awq,modelscope]",
+    "torch==2.6.0",
+    "torchvision==0.21.0",
+    "torchaudio==2.6.0",
+    "transformers<=4.51.1",
+    "tokenizers>=0.21.1",
+    "sqlalchemy~=2.0.30",
+    "pymysql~=1.1.1",
+    "loguru~=0.7.2",
+    "mysqlclient~=2.2.7",
+    "deepspeed~=0.16.9",
+    "mlflow>=3.1",
+]
+
+[tool.uv]
+index-url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+
+[tool.uv.sources]
+llamafactory = { git = "https://github.com/hiyouga/LLaMA-Factory.git", tag = "v0.9.4" }