Upload build_llamacpp_pangu_diffusion.sh with huggingface_hub

build_llamacpp_pangu_diffusion.sh

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+#!/usr/bin/env bash
+#
+# One-click build of llama.cpp with openPangu-R-7B-Diffusion support.
+#
+#   ./build_llamacpp_pangu_diffusion.sh
+#
+# It will:
+#   1. clone llama.cpp at the pinned release tag
+#   2. download and apply the openPangu-R-Diffusion patch
+#   3. build llama-diffusion-cli / llama-cli / llama-quantize
+#
+# Requirements: git, cmake >= 3.14, a C/C++ toolchain, and (optionally) an NVIDIA GPU.
+#
+set -euo pipefail
+
+LLAMA_TAG="b11719"
+PATCH_URL="https://huggingface.co/HelloSun/openPangu-R-7B-Diffusion-Q4KM/resolve/main/pangu-diffusion-llamacpp.patch"
+WORKDIR="${WORKDIR:-$PWD/pangu-diffusion-build}"
+
+mkdir -p "$WORKDIR"
+cd "$WORKDIR"
+
+if [ ! -d llama.cpp ]; then
+    echo ">>> cloning llama.cpp ($LLAMA_TAG) ..."
+    git clone --depth 1 --branch "$LLAMA_TAG" https://github.com/ggml-org/llama.cpp.git
+fi
+
+cd llama.cpp
+git checkout -- . 2>/dev/null || true
+
+echo ">>> downloading patch ..."
+curl -L --fail -o pangu-diffusion-llamacpp.patch "$PATCH_URL"
+
+echo ">>> applying patch ..."
+git apply pangu-diffusion-llamacpp.patch
+
+echo ">>> configuring ..."
+if command -v nvcc >/dev/null 2>&1; then
+    cmake -B build -DGGML_CUDA=ON -DLLAMA_CURL=OFF
+else
+    cmake -B build -DGGML_NATIVE=ON -DLLAMA_CURL=OFF
+fi
+
+echo ">>> building ..."
+cmake --build build --config Release -j"$(nproc)" --target llama-diffusion-cli llama-cli llama-quantize
+
+echo
+echo ">>> done. binaries:"
+echo "    $WORKDIR/llama.cpp/build/bin/llama-diffusion-cli"
+echo "    $WORKDIR/llama.cpp/build/bin/llama-cli"