Changed "llama" to "jarvis", "Llama" to "Jarvis", "LLAMA" to "JARVIS"

.devops/cloud-v-pipeline

@@ -7,16 +7,16 @@ node('x86_runner1'){            // Running on x86 runner containing latest vecto
             checkout scm        // Clone the repo on Runner
         }
     }
-    stage('Compiling llama.cpp'){
+    stage('Compiling jarvis.cpp'){
         sh'''#!/bin/bash
-            make RISCV=1 RISCV_CROSS_COMPILE=1 # Compiling llama for RISC-V
+            make RISCV=1 RISCV_CROSS_COMPILE=1 # Compiling jarvis for RISC-V
         '''
     }
-    stage('Running llama.cpp'){
+    stage('Running jarvis.cpp'){
         sh'''#!/bin/bash
             module load gnu-bin2/0.1            # loading latest versions of vector qemu and vector gcc
-            qemu-riscv64 -L /softwares/gnu-bin2/sysroot  -cpu rv64,v=true,vlen=256,elen=64,vext_spec=v1.0 ./llama-cli -m /home/alitariq/codellama-7b.Q4_K_M.gguf -p "Anything" -n 9 > llama_log.txt            # Running llama.cpp on vector qemu-riscv64
-            cat llama_log.txt                   # Printing results
+            qemu-riscv64 -L /softwares/gnu-bin2/sysroot  -cpu rv64,v=true,vlen=256,elen=64,vext_spec=v1.0 ./jarvis-cli -m /home/alitariq/codejarvis-7b.Q4_K_M.gguf -p "Anything" -n 9 > jarvis_log.txt            # Running jarvis.cpp on vector qemu-riscv64
+            cat jarvis_log.txt                   # Printing results
         '''
     }
 }

.devops/full-cuda.Dockerfile

@@ -26,7 +26,7 @@ COPY . .
 RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \
         export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \
     fi && \
-    cmake -B build -DGGML_CUDA=ON -DLLAMA_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
+    cmake -B build -DGGML_CUDA=ON -DJARVIS_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
     cmake --build build --config Release -j$(nproc) && \
     cp build/bin/* .
 

.devops/full-musa.Dockerfile

@@ -19,7 +19,7 @@ WORKDIR /app
 
 COPY . .
 
-RUN cmake -B build -DGGML_MUSA=ON -DLLAMA_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
+RUN cmake -B build -DGGML_MUSA=ON -DJARVIS_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
     cmake --build build --config Release -j$(nproc) && \
     cp build/bin/* .
 

.devops/full-rocm.Dockerfile

@@ -9,7 +9,7 @@ ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-co
 FROM ${BASE_ROCM_DEV_CONTAINER} AS build
 
 # Unless otherwise specified, we make a fat build.
-# List from https://github.com/ggerganov/llama.cpp/pull/1087#issuecomment-1682807878
+# List from https://github.com/ggerganov/jarvis.cpp/pull/1087#issuecomment-1682807878
 # This is mostly tied to rocBLAS supported archs.
 ARG ROCM_DOCKER_ARCH="\
     gfx803 \
@@ -41,7 +41,7 @@ ENV CC=/opt/rocm/llvm/bin/clang
 ENV CXX=/opt/rocm/llvm/bin/clang++
 
 # Enable cURL
-ENV LLAMA_CURL=1
+ENV JARVIS_CURL=1
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 

.devops/full.Dockerfile

@@ -15,7 +15,7 @@ WORKDIR /app
 
 COPY . .
 
-ENV LLAMA_CURL=1
+ENV JARVIS_CURL=1
 
 
 RUN make -j$(nproc)

.devops/llama-cli-cann.Dockerfile → .devops/jarvis-cli-cann.Dockerfile

@@ -23,11 +23,11 @@ ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/runtime/lib64/stub:$LD_LIBRARY_PATH
 RUN echo "Building with static libs" && \
     source /usr/local/Ascend/ascend-toolkit/set_env.sh --force && \
     cmake -B build -DGGML_CANN=ON -DBUILD_SHARED_LIBS=OFF  && \
-    cmake --build build --config Release --target llama-cli
+    cmake --build build --config Release --target jarvis-cli
 
 # TODO: use image with NNRT
 FROM cosdt/cann:$ASCEND_VERSION AS runtime
-COPY --from=build /app/build/bin/llama-cli /llama-cli
+COPY --from=build /app/build/bin/jarvis-cli /jarvis-cli
 
 ENV LC_ALL=C.utf8
 
@@ -41,4 +41,4 @@ ENV ASCEND_OPP_PATH=${ASCEND_TOOLKIT_HOME}/opp
 ENV TOOLCHAIN_HOME=${ASCEND_TOOLKIT_HOME}/toolkit
 ENV ASCEND_HOME_PATH=${ASCEND_TOOLKIT_HOME}
 
-ENTRYPOINT ["/llama-cli" ]
+ENTRYPOINT ["/jarvis-cli" ]

.devops/llama-cli-cuda.Dockerfile → .devops/jarvis-cli-cuda.Dockerfile

@@ -23,15 +23,15 @@ RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \
         export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \
     fi && \
     cmake -B build -DGGML_CUDA=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
-    cmake --build build --config Release --target llama-cli -j$(nproc)
+    cmake --build build --config Release --target jarvis-cli -j$(nproc)
 
 FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
 
 RUN apt-get update && \
     apt-get install -y libgomp1
 
 COPY --from=build /app/build/ggml/src/libggml.so /libggml.so
-COPY --from=build /app/build/src/libllama.so /libllama.so
-COPY --from=build /app/build/bin/llama-cli /llama-cli
+COPY --from=build /app/build/src/libjarvis.so /libjarvis.so
+COPY --from=build /app/build/bin/jarvis-cli /jarvis-cli
 
-ENTRYPOINT [ "/llama-cli" ]
+ENTRYPOINT [ "/jarvis-cli" ]

.devops/llama-cli-intel.Dockerfile → .devops/jarvis-cli-intel.Dockerfile

@@ -17,12 +17,12 @@ RUN if [ "${GGML_SYCL_F16}" = "ON" ]; then \
     echo "Building with static libs" && \
     cmake -B build -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx \
     ${OPT_SYCL_F16} -DBUILD_SHARED_LIBS=OFF && \
-    cmake --build build --config Release --target llama-cli
+    cmake --build build --config Release --target jarvis-cli
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION AS runtime
 
-COPY --from=build /app/build/bin/llama-cli /llama-cli
+COPY --from=build /app/build/bin/jarvis-cli /jarvis-cli
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/llama-cli" ]
+ENTRYPOINT [ "/jarvis-cli" ]

.devops/llama-cli-musa.Dockerfile → .devops/jarvis-cli-musa.Dockerfile

@@ -16,15 +16,15 @@ WORKDIR /app
 COPY . .
 
 RUN cmake -B build -DGGML_MUSA=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
-    cmake --build build --config Release --target llama-cli -j$(nproc)
+    cmake --build build --config Release --target jarvis-cli -j$(nproc)
 
 FROM ${BASE_MUSA_RUN_CONTAINER} AS runtime
 
 RUN apt-get update && \
     apt-get install -y libgomp1
 
 COPY --from=build /app/build/ggml/src/libggml.so /libggml.so
-COPY --from=build /app/build/src/libllama.so /libllama.so
-COPY --from=build /app/build/bin/llama-cli /llama-cli
+COPY --from=build /app/build/src/libjarvis.so /libjarvis.so
+COPY --from=build /app/build/bin/jarvis-cli /jarvis-cli
 
-ENTRYPOINT [ "/llama-cli" ]
+ENTRYPOINT [ "/jarvis-cli" ]

.devops/llama-cli-rocm.Dockerfile → .devops/jarvis-cli-rocm.Dockerfile

@@ -9,7 +9,7 @@ ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-co
 FROM ${BASE_ROCM_DEV_CONTAINER} AS build
 
 # Unless otherwise specified, we make a fat build.
-# List from https://github.com/ggerganov/llama.cpp/pull/1087#issuecomment-1682807878
+# List from https://github.com/ggerganov/jarvis.cpp/pull/1087#issuecomment-1682807878
 # This is mostly tied to rocBLAS supported archs.
 ARG ROCM_DOCKER_ARCH="\
     gfx803 \
@@ -40,6 +40,6 @@ ENV GGML_HIPBLAS=1
 ENV CC=/opt/rocm/llvm/bin/clang
 ENV CXX=/opt/rocm/llvm/bin/clang++
 
-RUN make -j$(nproc) llama-cli
+RUN make -j$(nproc) jarvis-cli
 
-ENTRYPOINT [ "/app/llama-cli" ]
+ENTRYPOINT [ "/app/jarvis-cli" ]

.devops/llama-cli-vulkan.Dockerfile → .devops/jarvis-cli-vulkan.Dockerfile

@@ -15,13 +15,13 @@ RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key
 WORKDIR /app
 COPY . .
 RUN cmake -B build -DGGML_VULKAN=1 && \
-    cmake --build build --config Release --target llama-cli
+    cmake --build build --config Release --target jarvis-cli
 
 # Clean up
 WORKDIR /
-RUN cp /app/build/bin/llama-cli /llama-cli && \
+RUN cp /app/build/bin/jarvis-cli /jarvis-cli && \
     rm -rf /app
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/llama-cli" ]
+ENTRYPOINT [ "/jarvis-cli" ]

.devops/llama-cli.Dockerfile → .devops/jarvis-cli.Dockerfile

@@ -9,15 +9,15 @@ WORKDIR /app
 
 COPY . .
 
-RUN make -j$(nproc) llama-cli
+RUN make -j$(nproc) jarvis-cli
 
 FROM ubuntu:$UBUNTU_VERSION AS runtime
 
 RUN apt-get update && \
     apt-get install -y libgomp1
 
-COPY --from=build /app/llama-cli /llama-cli
+COPY --from=build /app/jarvis-cli /jarvis-cli
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/llama-cli" ]
+ENTRYPOINT [ "/jarvis-cli" ]

.devops/llama-cpp-cuda.srpm.spec → .devops/jarvis-cpp-cuda.srpm.spec

@@ -3,7 +3,7 @@
 # Built and maintained by John Boero - [email protected]
 # In honor of Seth Vidal https://www.redhat.com/it/blog/thank-you-seth-vidal
 
-# Notes for llama.cpp:
+# Notes for jarvis.cpp:
 # 1. Tags are currently based on hash - which will not sort asciibetically.
 #    We need to declare standard versioning if people want to sort latest releases.
 # 2. Builds for CUDA/OpenCL support are separate, with different depenedencies.
@@ -12,44 +12,44 @@
 # 4. OpenCL/CLBLAST support simply requires the ICD loader and basic opencl libraries.
 #    It is up to the user to install the correct vendor-specific support.
 
-Name:           llama.cpp-cuda
+Name:           jarvis.cpp-cuda
 Version:        %( date "+%%Y%%m%%d" )
 Release:        1%{?dist}
-Summary:        CPU Inference of LLaMA model in pure C/C++ (no CUDA/OpenCL)
+Summary:        CPU Inference of JARVIS model in pure C/C++ (no CUDA/OpenCL)
 License:        MIT
-Source0:        https://github.com/ggerganov/llama.cpp/archive/refs/heads/master.tar.gz
+Source0:        https://github.com/ggerganov/jarvis.cpp/archive/refs/heads/master.tar.gz
 BuildRequires:  coreutils make gcc-c++ git cuda-toolkit
 Requires:       cuda-toolkit
-URL:            https://github.com/ggerganov/llama.cpp
+URL:            https://github.com/ggerganov/jarvis.cpp
 
 %define debug_package %{nil}
 %define source_date_epoch_from_changelog 0
 
 %description
-CPU inference for Meta's Lllama2 models using default options.
+CPU inference for Meta's Ljarvis2 models using default options.
 
 %prep
-%setup -n llama.cpp-master
+%setup -n jarvis.cpp-master
 
 %build
 make -j GGML_CUDA=1
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p llama-cli %{buildroot}%{_bindir}/llama-cuda-cli
-cp -p llama-server %{buildroot}%{_bindir}/llama-cuda-server
-cp -p llama-simple %{buildroot}%{_bindir}/llama-cuda-simple
+cp -p jarvis-cli %{buildroot}%{_bindir}/jarvis-cuda-cli
+cp -p jarvis-server %{buildroot}%{_bindir}/jarvis-cuda-server
+cp -p jarvis-simple %{buildroot}%{_bindir}/jarvis-cuda-simple
 
 mkdir -p %{buildroot}/usr/lib/systemd/system
-%{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llamacuda.service
+%{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/jarviscuda.service
 [Unit]
-Description=Llama.cpp server, CPU only (no GPU support in this build).
+Description=Jarvis.cpp server, CPU only (no GPU support in this build).
 After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.target
 
 [Service]
 Type=simple
-EnvironmentFile=/etc/sysconfig/llama
-ExecStart=/usr/bin/llama-cuda-server $LLAMA_ARGS
+EnvironmentFile=/etc/sysconfig/jarvis
+ExecStart=/usr/bin/jarvis-cuda-server $JARVIS_ARGS
 ExecReload=/bin/kill -s HUP $MAINPID
 Restart=never
 
@@ -58,20 +58,20 @@ WantedBy=default.target
 EOF
 
 mkdir -p %{buildroot}/etc/sysconfig
-%{__cat} <<EOF  > %{buildroot}/etc/sysconfig/llama
-LLAMA_ARGS="-m /opt/llama2/ggml-model-f32.bin"
+%{__cat} <<EOF  > %{buildroot}/etc/sysconfig/jarvis
+JARVIS_ARGS="-m /opt/jarvis2/ggml-model-f32.bin"
 EOF
 
 %clean
 rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llama-cuda-cli
-%{_bindir}/llama-cuda-server
-%{_bindir}/llama-cuda-simple
-/usr/lib/systemd/system/llamacuda.service
-%config /etc/sysconfig/llama
+%{_bindir}/jarvis-cuda-cli
+%{_bindir}/jarvis-cuda-server
+%{_bindir}/jarvis-cuda-simple
+/usr/lib/systemd/system/jarviscuda.service
+%config /etc/sysconfig/jarvis
 
 %pre
 

.devops/llama-cpp.srpm.spec → .devops/jarvis-cpp.srpm.spec

@@ -3,7 +3,7 @@
 # Built and maintained by John Boero - [email protected]
 # In honor of Seth Vidal https://www.redhat.com/it/blog/thank-you-seth-vidal
 
-# Notes for llama.cpp:
+# Notes for jarvis.cpp:
 # 1. Tags are currently based on hash - which will not sort asciibetically.
 #    We need to declare standard versioning if people want to sort latest releases.
 #    In the meantime, YYYYMMDD format will be used.
@@ -13,45 +13,45 @@
 # 4. OpenCL/CLBLAST support simply requires the ICD loader and basic opencl libraries.
 #    It is up to the user to install the correct vendor-specific support.
 
-Name:           llama.cpp
+Name:           jarvis.cpp
 Version:        %( date "+%%Y%%m%%d" )
 Release:        1%{?dist}
-Summary:        CPU Inference of LLaMA model in pure C/C++ (no CUDA/OpenCL)
+Summary:        CPU Inference of JARVIS model in pure C/C++ (no CUDA/OpenCL)
 License:        MIT
-Source0:        https://github.com/ggerganov/llama.cpp/archive/refs/heads/master.tar.gz
+Source0:        https://github.com/ggerganov/jarvis.cpp/archive/refs/heads/master.tar.gz
 BuildRequires:  coreutils make gcc-c++ git libstdc++-devel
 Requires:       libstdc++
-URL:            https://github.com/ggerganov/llama.cpp
+URL:            https://github.com/ggerganov/jarvis.cpp
 
 %define debug_package %{nil}
 %define source_date_epoch_from_changelog 0
 
 %description
-CPU inference for Meta's Lllama2 models using default options.
+CPU inference for Meta's Ljarvis2 models using default options.
 Models are not included in this package and must be downloaded separately.
 
 %prep
-%setup -n llama.cpp-master
+%setup -n jarvis.cpp-master
 
 %build
 make -j
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p llama-cli %{buildroot}%{_bindir}/llama-cli
-cp -p llama-server %{buildroot}%{_bindir}/llama-server
-cp -p llama-simple %{buildroot}%{_bindir}/llama-simple
+cp -p jarvis-cli %{buildroot}%{_bindir}/jarvis-cli
+cp -p jarvis-server %{buildroot}%{_bindir}/jarvis-server
+cp -p jarvis-simple %{buildroot}%{_bindir}/jarvis-simple
 
 mkdir -p %{buildroot}/usr/lib/systemd/system
-%{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llama.service
+%{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/jarvis.service
 [Unit]
-Description=Llama.cpp server, CPU only (no GPU support in this build).
+Description=Jarvis.cpp server, CPU only (no GPU support in this build).
 After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.target
 
 [Service]
 Type=simple
-EnvironmentFile=/etc/sysconfig/llama
-ExecStart=/usr/bin/llama-server $LLAMA_ARGS
+EnvironmentFile=/etc/sysconfig/jarvis
+ExecStart=/usr/bin/jarvis-server $JARVIS_ARGS
 ExecReload=/bin/kill -s HUP $MAINPID
 Restart=never
 
@@ -60,20 +60,20 @@ WantedBy=default.target
 EOF
 
 mkdir -p %{buildroot}/etc/sysconfig
-%{__cat} <<EOF  > %{buildroot}/etc/sysconfig/llama
-LLAMA_ARGS="-m /opt/llama2/ggml-model-f32.bin"
+%{__cat} <<EOF  > %{buildroot}/etc/sysconfig/jarvis
+JARVIS_ARGS="-m /opt/jarvis2/ggml-model-f32.bin"
 EOF
 
 %clean
 rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llama-cli
-%{_bindir}/llama-server
-%{_bindir}/llama-simple
-/usr/lib/systemd/system/llama.service
-%config /etc/sysconfig/llama
+%{_bindir}/jarvis-cli
+%{_bindir}/jarvis-server
+%{_bindir}/jarvis-simple
+/usr/lib/systemd/system/jarvis.service
+%config /etc/sysconfig/jarvis
 
 %pre