diff --git a/science/linux-ai-ml-env/Makefile b/science/linux-ai-ml-env/Makefile
index e4dc732a75ab..8b50992f0770 100644
--- a/science/linux-ai-ml-env/Makefile
+++ b/science/linux-ai-ml-env/Makefile
@@ -1,122 +1,125 @@
 PORTNAME=	ai-ml-env
-PORTVERSION=	1.0.1
+PORTVERSION=	1.0.2
 CATEGORIES=	science linux
 MASTER_SITES=	https://arrowd.name/
 PKGNAMEPREFIX=	linux-
 DISTFILES=	miniconda3.tar.gz
 DIST_SUBDIR=	${PORTNAME}-${PORTVERSION}
 
 MAINTAINER=	arrowd@FreeBSD.org
 COMMENT=	Linux Python environment for running Stable Diffusion models and PyTorch CUDA examples
 
 ONLY_FOR_ARCHS=	amd64
 
 LICENSE=	MULTI
 LICENSE_NAME=	Multiple licenses
 LICENSE_TEXT=	The package contains multiple packages with different licenses
 LICENSE_PERMS=	dist-mirror pkg-mirror auto-accept
 
-BUILD_DEPENDS=	linux-rl9-devtools>=0:devel/linux-rl9-devtools
+BUILD_DEPENDS=	gmd5sum:sysutils/coreutils \
+		linux-rl9-devtools>=0:devel/linux-rl9-devtools
 RUN_DEPENDS=	linux-rl9-python${PYTHON_SUFFIX}>=0:lang/linux-rl9-python3 \
 		${NVIDIA_DEPS}
 
 USES=		linux:rl9
 USE_LINUX_PREFIX=	yes
 USE_GITHUB=	nodefault
 GH_ACCOUNT=	pytorch:examples
 GH_PROJECT=	examples:examples
 GH_TAGNAME=	5dfeb46902baf444010f2f54bcf4dfbea109ae4d:examples
 
 WRKSRC=		${WRKSRC_examples}
 MAKEDIST_WRKSRC=${WRKDIR}/makedist
 
+BINARY_ALIAS=	md5sum=gmd5sum
+
 SUB_FILES=	ai-ml-env-bash \
 		ai-ml-env-python
 SUB_LIST=	LOCALBASE=${LOCALBASE} \
 		LINUXBASE=${LINUXBASE}
 
 PLIST_SUB=	PYTHON_SUFFIX=${PYTHON_SUFFIX} \
 		PYTHON_VER=${PYTHON_VER}
 
 CONDA_VERSION=	py${PYTHON_SUFFIX}_25.9.1-1
 CONDA_SCRIPT=	Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh
 PYTHON_SUFFIX=	39
 PYTHON_VER=	3.9
 DATA_DIR=	${LOCALBASE}/share/${PORTNAME}
 
 OPTIONS_DEFINE=	NVIDIA_DEVEL
 
 NVIDIA_DEVEL_DESC=	Depend on x11/nvidia-driver-devel instead of the stable version
 
 .include <bsd.port.options.mk>
 
 .if ${PORT_OPTIONS:MNVIDIA_DEVEL}
 NVIDIA_DEPS=	linux-nvidia-libs-devel>=0:x11/linux-nvidia-libs-devel \
 		nvidia-driver-devel>=0:x11/nvidia-driver-devel
 .else
 NVIDIA_DEPS=	linux-nvidia-libs>=0:x11/linux-nvidia-libs \
 		nvidia-driver>=0:x11/nvidia-driver
 .endif
 
-makedist:
+makedist: create-binary-alias
 	@${MKDIR} ${MAKEDIST_WRKSRC}
 	@${ECHO_MSG} "Setting up Miniconda 'pytorch' environment"
 	cd ${MAKEDIST_WRKSRC} && \
 		${FETCH_CMD} -a -v https://repo.anaconda.com/miniconda/${CONDA_SCRIPT}
 
-	${SETENV} HOME=${MAKEDIST_WRKSRC} CONDA_OVERRIDE_GLIBC=2.28 \
+	${SETENV} HOME=${MAKEDIST_WRKSRC} PATH=${PATH} CONDA_OVERRIDE_GLIBC=2.28 \
 		${SH} ${MAKEDIST_WRKSRC}/${CONDA_SCRIPT} -b -s
 
 	${SETENV} HOME=${MAKEDIST_WRKSRC} ${SH} -c \
 		"${MAKEDIST_WRKSRC}/miniconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \
 		${MAKEDIST_WRKSRC}/miniconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r && \
 		${MAKEDIST_WRKSRC}/miniconda3/bin/conda create --name pytorch python=${PYTHON_VER} -y"
 
 	${LINUXBASE}/bin/bash -c \
 		"source ${MAKEDIST_WRKSRC}/miniconda3/etc/profile.d/conda.sh && \
 		conda activate pytorch && \
 		pip install -r ${FILESDIR}/requirements.txt"
 
 	cd ${MAKEDIST_WRKSRC} && \
 		tar -czf /tmp/miniconda3.tar.gz miniconda3
 	@cd /tmp \
 		&& sha256 miniconda3.tar.gz \
 		&& ${ECHO_CMD} -n "SIZE (${DIST_SUBDIR}/miniconda3.tar.gz) = " \
 		&& ${STAT} -f %z miniconda3.tar.gz
 
 do-build:
-	/compat/linux/bin/cc --sysroot=/compat/linux -m64 -std=c99 -Wall -ldl -fPIC -shared -o ${WRKDIR}/dummy-uvm.so ${FILESDIR}/uvm_ioctl_override.c
+	${LINUXBASE}/bin/cc --sysroot=/compat/linux -m64 -std=c99 -Wall -ldl -fPIC -shared -o ${WRKDIR}/dummy-uvm.so ${FILESDIR}/uvm_ioctl_override.c
 
 do-install:
 	@${FIND} ${WRKSRC} -name '*.orig' -delete
 	# Install Linux Python packages
 	${MKDIR} ${STAGEDIR}${PREFIX}/usr/bin
 	${FIND} ${WRKDIR}/miniconda3/envs/pytorch/bin -type f -exec ${CP} {} ${STAGEDIR}${PREFIX}/usr/bin \;
 	${MKDIR} ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER}
 	${CP} -r ${WRKDIR}/miniconda3/envs/pytorch/lib/python${PYTHON_VER}/site-packages ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER}
 	for item in `cat ${FILESDIR}/redundant-items.txt`; do \
 		${RM} -r ${STAGEDIR}${PREFIX}/usr/$$item; \
 	done
 	${FIND} ${STAGEDIR}${PREFIX}/usr/bin -type f -exec ${REINPLACE_CMD} -i '' 's|^#!.*/miniconda3/envs/pytorch/bin/python|#!/bin/python3|' {} +
 	# Install Shkhln's lib
 	${MKDIR} ${STAGEDIR}${DATADIR}
 	${INSTALL_LIB} ${WRKDIR}/dummy-uvm.so ${STAGEDIR}${DATADIR}
 	# Install Pytorch examples
 	${MKDIR} ${STAGEDIR}${DATA_DIR}/pytorch-examples
 	cd ${WRKSRC} && \
 		${COPYTREE_SHARE} . ${STAGEDIR}${DATA_DIR}/pytorch-examples
 	${RM} -r ${STAGEDIR}${DATA_DIR}/pytorch-examples/.github
 	${INSTALL_SCRIPT} ${WRKSRC}/run_python_examples.sh ${STAGEDIR}${DATA_DIR}/pytorch-examples
 	# Install Stable Diffusion sample
 	${INSTALL_DATA} ${FILESDIR}/stable-diffusion-sample.py ${STAGEDIR}${DATA_DIR}
 	# Install demonstration scripts
 	${MKDIR} ${STAGEDIR}${LOCALBASE}/bin
 	${INSTALL_SCRIPT} ${WRKDIR}/ai-ml-env-bash ${STAGEDIR}${LOCALBASE}/bin/ai-ml-env-bash
 	${INSTALL_SCRIPT} ${WRKDIR}/ai-ml-env-python ${STAGEDIR}${LOCALBASE}/bin/ai-ml-env-python
 
 post-install:
 	@${FIND} ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER} -type f | sed -e 's|${STAGEDIR}${PREFIX}/||' >> ${TMPPLIST}
 	@${FIND} ${STAGEDIR}${DATA_DIR}/pytorch-examples -type f | sed -e 's|${STAGEDIR}||' >> ${TMPPLIST}
 	@${FIND} ${STAGEDIR}${DATA_DIR} -type d | sed -e 's|${STAGEDIR}|@dir |' >> ${TMPPLIST}
 
 .include <bsd.port.mk>
diff --git a/science/linux-ai-ml-env/distinfo b/science/linux-ai-ml-env/distinfo
index ff6dd1918a87..5e5bd59f3c77 100644
--- a/science/linux-ai-ml-env/distinfo
+++ b/science/linux-ai-ml-env/distinfo
@@ -1,5 +1,5 @@
 TIMESTAMP = 1742925173
-SHA256 (ai-ml-env-1.0.1/miniconda3.tar.gz) = caabf9a12acd61912a10a32e690283137e15dff2617fdd701ff9f695dc7a4d5c
-SIZE (ai-ml-env-1.0.1/miniconda3.tar.gz) = 3584426356
-SHA256 (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c
-SIZE (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483
+SHA256 (ai-ml-env-1.0.2/miniconda3.tar.gz) = aa95a1125b9082e40fa4ffd32c4f0c85f3fee4a3bc3802aa72b28b5ade22ccc9
+SIZE (ai-ml-env-1.0.2/miniconda3.tar.gz) = 4453086806
+SHA256 (ai-ml-env-1.0.2/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c
+SIZE (ai-ml-env-1.0.2/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483
diff --git a/science/linux-ai-ml-env/files/requirements.txt b/science/linux-ai-ml-env/files/requirements.txt
index 89aaddb5a303..9f5f8795cbfe 100644
--- a/science/linux-ai-ml-env/files/requirements.txt
+++ b/science/linux-ai-ml-env/files/requirements.txt
@@ -1,56 +1,56 @@
-accelerate==1.4.0
-certifi==2025.1.31
-charset-normalizer==3.4.1
-cloudpickle==3.1.1
-contourpy==1.3.0
-cycler==0.12.1
-diffusers==0.32.2
-filelock==3.17.0
-fonttools==4.56.0
-fsspec==2025.3.0
-gym==0.26.2
-gym-notices==0.0.8
-huggingface-hub==0.29.3
-idna==3.10
-importlib_metadata==8.6.1
-importlib_resources==6.5.2
-Jinja2==3.1.6
-kiwisolver==1.4.7
-MarkupSafe==3.0.2
-matplotlib==3.9.4
-mpmath==1.3.0
-networkx==3.2.1
-numpy==2.0.2
-nvidia-cublas-cu12==12.4.5.8
-nvidia-cuda-cupti-cu12==12.4.127
-nvidia-cuda-nvrtc-cu12==12.4.127
-nvidia-cuda-runtime-cu12==12.4.127
-nvidia-cudnn-cu12==9.1.0.70
-nvidia-cufft-cu12==11.2.1.3
-nvidia-curand-cu12==10.3.5.147
-nvidia-cusolver-cu12==11.6.1.9
-nvidia-cusparse-cu12==12.3.1.170
-nvidia-cusparselt-cu12==0.6.2
-nvidia-nccl-cu12==2.21.5
-nvidia-nvjitlink-cu12==12.4.127
-nvidia-nvtx-cu12==12.4.127
-packaging==24.2
-pillow==11.1.0
-psutil==7.0.0
-pyparsing==3.2.1
-python-dateutil==2.9.0.post0
-PyYAML==6.0.2
-regex==2024.11.6
-requests==2.32.3
-safetensors==0.5.3
-six==1.17.0
-sympy==1.13.1
-tokenizers==0.21.0
-torch==2.6.0
-torchvision==0.21.0
-tqdm==4.67.1
-transformers==4.49.0
-triton==3.2.0
-typing_extensions==4.12.2
-urllib3==2.3.0
-zipp==3.21.0
+accelerate
+certifi
+charset-normalizer
+cloudpickle
+contourpy
+cycler
+diffusers
+filelock
+fonttools
+fsspec
+gym
+gym-notices
+huggingface-hub
+idna
+importlib_metadata
+importlib_resources
+Jinja2
+kiwisolver
+MarkupSafe
+matplotlib
+mpmath
+networkx
+numpy
+nvidia-cublas-cu12
+nvidia-cuda-cupti-cu12
+nvidia-cuda-nvrtc-cu12
+nvidia-cuda-runtime-cu12
+nvidia-cudnn-cu12
+nvidia-cufft-cu12
+nvidia-curand-cu12
+nvidia-cusolver-cu12
+nvidia-cusparse-cu12
+nvidia-cusparselt-cu12
+nvidia-nccl-cu12
+nvidia-nvjitlink-cu12
+nvidia-nvtx-cu12
+packaging
+pillow
+psutil
+pyparsing
+python-dateutil
+PyYAML
+regex
+requests
+safetensors
+six
+sympy
+tokenizers
+torch
+torchvision
+tqdm
+transformers
+triton
+typing_extensions
+urllib3
+zipp