Add relaxed-MTP llama-server build and wire it into the stack

mtp-relaxed-decoding/ holds the patch, build, and guide for a custom
llama-server with relaxed-acceptance MTP speculative decoding
(see its README for the full writeup). Bumps the open-webui submodule
to the commit that adds it as a new service, connection, and the
ollama-auth proxy swap.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

mtp-relaxed-decoding/Dockerfile

@@ -0,0 +1,54 @@
+# Builds a custom llama-server with the relaxed-acceptance MTP speculative
+# decoding patch (see README.md). Pinned to the exact llama.cpp commit the
+# patch was written against, so `git apply` doesn't hit source drift.
+
+FROM nvidia/cuda:12.6.3-devel-ubuntu24.04 AS build
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential cmake git ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /src
+ARG LLAMA_CPP_COMMIT=d222767c7a6516559a3f49e7721b6c6b1acc87b4
+RUN git init -q . \
+    && git remote add origin https://github.com/ggml-org/llama.cpp.git \
+    && git fetch --depth 1 origin "$LLAMA_CPP_COMMIT" \
+    && git checkout -q FETCH_HEAD
+
+COPY relaxed-top-n.patch .
+RUN git apply relaxed-top-n.patch
+
+# CMAKE_CUDA_ARCHITECTURES is hardcoded (rather than `native`) because this
+# build has no GPU access to autodetect from. 61 = Pascal / compute 6.1,
+# i.e. the Titan Xp this stack actually runs on -- change if the target GPU
+# changes.
+#
+# The devel image ships a link-time libcuda.so *stub* (real libcuda.so.1
+# only exists on a machine with the driver installed, which this build
+# container isn't). LIBRARY_PATH alone wasn't enough to get it picked up --
+# ggml-cuda's CMakeLists doesn't route through FindCUDAToolkit's own stub
+# search here -- so force it via explicit linker flags on every link step,
+# and symlink the SONAME ld actually looks for (libcuda.so.1) since the
+# stub only ships as libcuda.so.
+RUN ln -sf libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
+RUN cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=61 \
+      -DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=OFF \
+      -DCMAKE_EXE_LINKER_FLAGS="-L/usr/local/cuda/lib64/stubs -lcuda" \
+      -DCMAKE_SHARED_LINKER_FLAGS="-L/usr/local/cuda/lib64/stubs -lcuda" \
+    && cmake --build build --config Release -j2 --target llama-server
+
+FROM nvidia/cuda:12.6.3-runtime-ubuntu24.04 AS runtime
+
+RUN apt-get update && apt-get install -y --no-install-recommends libgomp1 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+# llama-server + every shared lib it needs land in the same bin/ dir; ggml's
+# dynamic backend loader scans the executable's own directory, so copying it
+# whole means CUDA is found with no extra env vars.
+COPY --from=build /src/build/bin/ /app/
+COPY entrypoint.sh /app/entrypoint.sh
+RUN chmod +x /app/entrypoint.sh /app/llama-server
+
+EXPOSE 8030
+ENTRYPOINT ["/app/entrypoint.sh"]