diff --git a/.github/packaging/pre_build_cpu.sh b/.github/packaging/pre_build_cpu.sh
index 9c5d7eb97..60913449d 100644
--- a/.github/packaging/pre_build_cpu.sh
+++ b/.github/packaging/pre_build_cpu.sh
@@ -24,7 +24,7 @@ echo "wheel dir is $WHL_DIR"
 build_vllm() {
     cd "$BUILD_DIR"
 
-    git clone https://github.com/vllm-project/vllm.git --branch $VLLM_BRANCH
+    git clone https://github.com/vllm-project/vllm.git --branch $VLLM_VERSION
     cd "$BUILD_DIR/vllm"
 
     python use_existing_torch.py
diff --git a/.github/packaging/vllm_reqs_12_8.txt b/.github/packaging/vllm_reqs_12_8.txt
index c7d38ec64..d1ba5e385 100644
--- a/.github/packaging/vllm_reqs_12_8.txt
+++ b/.github/packaging/vllm_reqs_12_8.txt
@@ -1,11 +1,4 @@
-# These requirements were generated by running steps 1-3 of scripts/build_wheels.sh
-# then running pip freeze and manually removing the vllm dependency.
-# The intention of this file is to use these known requirements for a fixed
-# vLLM build to supplement a vLLM install from download.pytorch.org without
-# resorting to --extra-index-url https://download.pytorch.org/whl/nightly to find
-# vLLM dependencies (as this results in a ResolutionTooDeep error from pip).
-# See the file .github/workflows/gpu_test.yaml for an E2E forge installation using this approach.
-# TODO: this should be done way less hackily
+# This file was generated by running ./scripts/generate_vllm_reqs.sh
 aiohappyeyeballs==2.6.1
 aiohttp==3.13.1
 aiosignal==1.4.0
@@ -33,8 +26,8 @@ dnspython==2.8.0
 einops==0.8.1
 email-validator==2.3.0
 exceptiongroup==1.3.0
-fastapi==0.119.0
-fastapi-cli==0.0.13
+fastapi==0.119.1
+fastapi-cli==0.0.14
 fastapi-cloud-cli==0.3.1
 fastrlock==0.8.3
 filelock==3.19.1
@@ -94,7 +87,7 @@ prometheus-fastapi-instrumentator==7.1.0
 prometheus_client==0.23.1
 propcache==0.4.1
 protobuf==6.33.0
-psutil==7.1.0
+psutil==7.1.1
 py-cpuinfo==9.0.0
 pybase64==1.4.2
 pycountry==24.6.1
@@ -108,9 +101,9 @@ python-json-logger==4.0.0
 python-multipart==0.0.20
 PyYAML==6.0.3
 pyzmq==27.1.0
-ray==2.50.0
+ray==2.50.1
 referencing==0.37.0
-regex==2025.9.18
+regex==2025.10.23
 requests==2.32.5
 rich==14.2.0
 rich-toolkit==0.15.1
@@ -119,8 +112,8 @@ rpds-py==0.27.1
 safetensors==0.6.2
 scipy==1.15.3
 sentencepiece==0.2.1
-sentry-sdk==2.42.0
-setuptools-scm==9.2.1
+sentry-sdk==2.42.1
+setuptools-scm==9.2.2
 shellingham==1.5.4
 sniffio==1.3.1
 soundfile==0.13.1
@@ -134,11 +127,11 @@ torch==2.9.0+cu128
 tqdm==4.67.1
 transformers==4.57.1
 triton==3.5.0
-typer==0.19.2
+typer==0.20.0
 typing-inspection==0.4.2
 typing_extensions==4.15.0
 urllib3==2.5.0
-uvicorn==0.37.0
+uvicorn==0.38.0
 uvloop==0.22.1
 watchfiles==1.1.1
 websockets==15.0.1
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 6d3c35669..88b8446e3 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -26,25 +26,11 @@ jobs:
           activate-environment: test
           python-version: '3.10'
           auto-activate: false
-      - name: Verify conda environment
-        shell: bash -l {0}
-        run: |
-          conda info
-          which python
-          which conda
       - name: Update pip
         shell: bash -l {0}
         run: python -m pip install --upgrade pip
-      - name: Install pytorch
-        shell: bash -l {0}
-        run: pip3 install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu130 --force-reinstall
-      - name: Install monarch
-        shell: bash -l {0}
-        run: pip install assets/ci/monarch_no_torch-0.1.0.dev20251010-py3-none-any.whl
       - name: Install torchforge
         shell: bash -l {0}
-        env:
-          GH_TOKEN: ${{ github.token }}
         run: ./scripts/install.sh
       - name: Install docs dependencies
         shell: bash -l {0}
@@ -52,36 +38,7 @@ jobs:
       - name: Build docs
         shell: bash -l {0}
         working-directory: docs
-        run: |
-          # Set up library paths to ensure all dependencies are available
-          # This is critical for monarch and other native dependencies that need libpython3.10.so.1.0
-          export LD_LIBRARY_PATH="${CONDA_PREFIX}/lib:${LD_LIBRARY_PATH:-}"
-
-          # Also set CUDA paths if needed
-          if [ -d "/usr/local/cuda-12.9" ]; then
-            export LD_LIBRARY_PATH="/usr/local/cuda-12.9/compat:${LD_LIBRARY_PATH}"
-            export CUDA_HOME=/usr/local/cuda-12.9
-          fi
-
-          # Verify dependencies can be imported before building docs
-          echo "Verifying dependencies..."
-          python -c "import forge; print('✓ torchforge imported successfully')"
-          python -c "import monarch; print('✓ monarch imported successfully')"
-
-          # Build docs with -W (warnings as errors) and --keep-going to see all issues
-          # Capture exit code but continue to see all errors
-          set +e
-          make html SPHINXOPTS="-W --keep-going"
-          BUILD_EXIT_CODE=$?
-          set -e
-
-          # Report results
-          if [ $BUILD_EXIT_CODE -ne 0 ]; then
-            echo "❌ Documentation build failed with warnings or errors (exit code: $BUILD_EXIT_CODE)"
-            exit $BUILD_EXIT_CODE
-          else
-            echo "✅ Documentation build completed successfully with no warnings or errors"
-          fi
+        run: make html
       - name: Upload docs artifact
         uses: actions/upload-artifact@v4
         with:
diff --git a/.github/workflows/gpu_test.yaml b/.github/workflows/gpu_test.yaml
index 301ac79f5..e9cafeebc 100644
--- a/.github/workflows/gpu_test.yaml
+++ b/.github/workflows/gpu_test.yaml
@@ -1,9 +1,6 @@
-name: GPU Tests
+name: Unit Tests (GPU)
 
 on:
-  schedule:
-    # Runs at midnight every day
-    - cron:  '0 0 * * *'
   push:
     branches: [ main ]
   pull_request:
@@ -27,7 +24,7 @@ jobs:
     runs-on: linux.g5.12xlarge.nvidia.gpu
     strategy:
       matrix:
-        python-version: ['3.10']
+        python-version: ['3.10', '3.11', '3.12']
     steps:
       - name: Check out repo
         uses: actions/checkout@v4
@@ -40,26 +37,10 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - name: Update pip
         run: python -m pip install --upgrade pip
-      - name: Install pinned torch nightly
-        run: python -m pip install --pre torch==2.9.0.dev20250905 --no-cache-dir --index-url https://download.pytorch.org/whl/nightly/cu129
-      - name: Download and install vLLM and its dependencies
-        # TODO: this honestly could not be hackier if I tried
-        run: |
-          python -m pip install -r .github/packaging/vllm_reqs_12_9.txt
-          python -m pip install vllm==0.10.1.dev0+g6d8d0a24c.d20251009.cu129 --no-cache-dir --index-url https://download.pytorch.org/whl/preview/forge
-      - name: Install Monarch
-        run: pip install torchmonarch==0.1.0rc1
-      - name: Install torchtitan and torchstore
-        run: |
-          python -m pip install git+https://github.com/pytorch/torchtitan.git
-          python -m pip install git+https://github.com/meta-pytorch/torchstore.git
-      - name: Install dependencies
-        run: python -m pip install --no-build-isolation -e ".[dev]"
+      - name: Install torchforge
+        run: ./scripts/install.sh
       - name: Run unit tests with coverage
         # TODO add all tests
-        run: |
-          export LD_PRELOAD=$CONDA/envs/test/lib/libpython3.10.so.1.0
-          export LD_LIBRARY_PATH=$CONDA/envs/test/lib/libpython3.10.so.1.0
-          pytest tests/unit_tests --cov=. --cov-report=xml --durations=20 -vv
+        run: pytest tests/unit_tests --cov=. --cov-report=xml --durations=20 -vv
       - name: Upload Coverage to Codecov
         uses: codecov/codecov-action@v3
diff --git a/.github/workflows/unit_test.yaml b/.github/workflows/unit_test.yaml
deleted file mode 100644
index 73063620f..000000000
--- a/.github/workflows/unit_test.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-name: Unit Tests
-
-on:
-  pull_request:
-  push:
-    branches: [ main ]
-  workflow_dispatch:
-
-jobs:
-  unit_tests:
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    strategy:
-      matrix:
-        python-version: ['3.10', '3.11', '3.12']
-    steps:
-      - name: Check out repo
-        uses: actions/checkout@v4
-      - name: Setup conda env
-        uses: conda-incubator/setup-miniconda@v2
-        with:
-          auto-update-conda: true
-          miniconda-version: "latest"
-          activate-environment: test
-          python-version: ${{ matrix.python-version }}
-      - name: Update pip
-        run: python -m pip install --upgrade pip
-      - name: Install pytorch
-        run: python -m pip install torch==2.9.0.dev20250826 --extra-index-url https://download.pytorch.org/whl/nightly/cpu
-      - name: Install monarch
-        run: pip install assets/ci/monarch_no_torch-0.1.0.dev20251010-py3-none-any.whl
-      - name: Install torchstore
-        run: pip install assets/wheels/torchstore-0.1.0-py3-none-any.whl
-      - name: Install torchtitan
-        run: |
-          pip install assets/wheels/torchtitan-0.1.0-py3-none-any.whl
-          pip install tyro
-      - name: Install dependencies
-        run: python -m pip install --no-build-isolation -e ".[dev]"
-      - name: Run unit tests with coverage
-        # TODO add all tests
-        run: pytest tests/unit_tests --cov=. --cov-report=xml --durations=20 -vv
-      - name: Upload Coverage to Codecov
-        uses: codecov/codecov-action@v3
diff --git a/.meta/mast/env_setup.sh b/.meta/mast/env_setup.sh
index 323e2febe..fca86adf5 100755
--- a/.meta/mast/env_setup.sh
+++ b/.meta/mast/env_setup.sh
@@ -150,10 +150,10 @@ if [ -f "$VERSIONS_FILE" ]; then
     log_info "Sourcing version information from: $VERSIONS_FILE"
     source "$VERSIONS_FILE"
 
-    if [ -n "$TORCHTITAN_COMMIT" ]; then
-        log_info "Installing torchtitan from commit: $TORCHTITAN_COMMIT"
+    if [ -n "$TORCHTITAN_COMMIT_MAST" ]; then
+        log_info "Installing torchtitan from commit: $TORCHTITAN_COMMIT_MAST"
         pip uninstall -y torchtitan
-        pip install "git+https://github.com/pytorch/torchtitan.git@$TORCHTITAN_COMMIT"
+        pip install "git+https://github.com/pytorch/torchtitan.git@$TORCHTITAN_COMMIT_MAST"
 
         if [ $? -eq 0 ]; then
             log_info "Torchtitan installed successfully"
@@ -162,7 +162,7 @@ if [ -f "$VERSIONS_FILE" ]; then
             exit 1
         fi
     else
-        log_error "TORCHTITAN_COMMIT not found in versions.sh"
+        log_error "TORCHTITAN_COMMIT_MAST not found in versions.sh"
         exit 1
     fi
 else
diff --git a/README.md b/README.md
index 5511bc611..18dd34b50 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,6 @@
 # <img width="35" height="35" alt="image" src="https://github.com/user-attachments/assets/2700a971-e5d6-4036-b03f-2f89c9791609" /> torchforge
 
 #### A PyTorch-native agentic RL library that lets you focus on algorithms—not infra.
-[![Unit Tests](https://github.com/meta-pytorch/forge/actions/workflows/unit_test.yaml/badge.svg?branch=main)](https://github.com/meta-pytorch/forge/actions/workflows/unit_test.yaml?query=branch%3Amain)
 [![GPU Tests](https://github.com/meta-pytorch/forge/actions/workflows/gpu_test.yaml/badge.svg?branch=main)](https://github.com/meta-pytorch/forge/actions/workflows/gpu_test.yaml?query=branch%3Amain)
 
 ## Overview
@@ -31,14 +30,11 @@ You can also find our notebook tutorials (coming soon)
 
 ### Basic
 
-torchforge requires the latest PyTorch nightly with [Monarch](https://github.com/meta-pytorch/monarch), [vLLM](https://github.com/vllm-project/vllm), and [torchtitan](https://github.com/pytorch/torchtitan). For convenience,
-we have pre-packaged these dependencies as wheels in assets/wheels. (Note that the basic install script
+torchforge requires PyTorch 2.9.0 with [Monarch](https://github.com/meta-pytorch/monarch), [vLLM](https://github.com/vllm-project/vllm), and [torchtitan](https://github.com/pytorch/torchtitan). (Note that the basic install script
 uses [DNF](https://docs.fedoraproject.org/en-US/quick-docs/dnf/), but could be easily extended to other Linux OS.)
 
-torchforge requires the Github CLI (gh) to download a compatible vLLM package. See [here](https://github.com/cli/cli#installation) for gh install instructions before continuting. Please login to gh with your Github account before continuing with `gh auth login`. You may use either https or ssh as the protocol for authentication.
-
 ```bash
-conda create -n forge python=3.10
+conda create -n forge python=3.12
 conda activate forge
 ./scripts/install.sh
 ```
@@ -51,11 +47,6 @@ After install, you can run the following command and should see output confirmin
 python -m apps.grpo.main --config apps/grpo/qwen3_1_7b.yaml
 ```
 
-If you need to re-build the wheels for whatever reason, you can do so with:
-```bash
-./scripts/build_wheels.sh
-```
-
 ## Quick Start
 
 To run SFT on a Llama3 8B model, run
diff --git a/apps/grpo/main.py b/apps/grpo/main.py
index ef522e57b..db3b9655f 100644
--- a/apps/grpo/main.py
+++ b/apps/grpo/main.py
@@ -59,8 +59,7 @@ def policy_version(self) -> int | None:
 
     @property
     def request_tensor(self) -> torch.Tensor:
-        request_tokens: torch.Tensor = self.completion.prompt_ids
-        tensor = torch.tensor(request_tokens, dtype=torch.long)
+        tensor: torch.Tensor = self.completion.prompt_ids.to(torch.long)
         if tensor.shape[0] < self.request_len:  # left pad
             diff = self.request_len - tensor.shape[0]
             tensor = F.pad(tensor, (diff, 0), value=self.pad_id)
@@ -68,8 +67,7 @@ def request_tensor(self) -> torch.Tensor:
 
     @property
     def response_tensor(self) -> torch.Tensor:
-        response_tokens: torch.Tensor = self.completion.token_ids
-        tensor = torch.tensor(response_tokens, dtype=torch.long)
+        tensor: torch.Tensor = self.completion.token_ids.to(torch.long)
         if tensor.shape[0] < self.response_len:  # right pad
             diff = self.response_len - tensor.shape[0]
             tensor = F.pad(tensor, (0, diff), value=self.pad_id)
diff --git a/assets/versions.sh b/assets/versions.sh
index 49a755dc0..ff7aff5cd 100644
--- a/assets/versions.sh
+++ b/assets/versions.sh
@@ -7,13 +7,12 @@
 # Version Configuration for Forge Wheel Building
 # This file contains all pinned versions and commits for dependencies
 
-# PyTorch version
-PYTORCH_VERSION="2.9.0.dev20250905"
+# Stable versions of upstream libraries for OSS repo
+PYTORCH_VERSION="2.9.0"
+VLLM_VERSION="v0.10.0"
+MONARCH_VERSION="0.1.0rc8"
+TORCHTITAN_VERSION="0.2.0"
+TORCHSTORE_VERSION="0.0.1.rc3"
 
-# vLLM branch
-VLLM_BRANCH="v0.10.0"
-
-# Commit hashes
-MONARCH_COMMIT="195503223b5c2896846171f60ac99dc6868f8f2c"
-TORCHTITAN_COMMIT="d0e25450bcac2332359b13fbda430dc701f073d4"
-TORCHSTORE_COMMIT="662299faf4fd50ee30bd9aa3f4ce8c0e2db1d310"
+# Torchtitan commit hash for launching on MAST
+TORCHTITAN_COMMIT_MAST="d0e25450bcac2332359b13fbda430dc701f073d4"
diff --git a/assets/wheels/monarch-0.0.1-cp310-cp310-linux_x86_64.whl b/assets/wheels/monarch-0.0.1-cp310-cp310-linux_x86_64.whl
deleted file mode 100644
index a704f8703..000000000
Binary files a/assets/wheels/monarch-0.0.1-cp310-cp310-linux_x86_64.whl and /dev/null differ
diff --git a/assets/wheels/torchstore-0.1.0-py3-none-any.whl b/assets/wheels/torchstore-0.1.0-py3-none-any.whl
deleted file mode 100644
index 2a958c709..000000000
Binary files a/assets/wheels/torchstore-0.1.0-py3-none-any.whl and /dev/null differ
diff --git a/assets/wheels/torchtitan-0.1.0-py3-none-any.whl b/assets/wheels/torchtitan-0.1.0-py3-none-any.whl
deleted file mode 100644
index cc61d6db1..000000000
Binary files a/assets/wheels/torchtitan-0.1.0-py3-none-any.whl and /dev/null differ
diff --git a/scripts/build_wheels.sh b/scripts/build_wheels.sh
deleted file mode 100755
index 407d17e6f..000000000
--- a/scripts/build_wheels.sh
+++ /dev/null
@@ -1,403 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the BSD-style license found in the
-# LICENSE file in the root directory of this source tree.
-
-#!/bin/bash
-set -euo pipefail
-
-# Colors for output
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-BLUE='\033[0;34m'
-NC='\033[0m'
-
-# Source version configuration
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-VERSIONS_FILE="$SCRIPT_DIR/../assets/versions.sh"
-
-if [ ! -f "$VERSIONS_FILE" ]; then
-    echo -e "${RED}[ERROR]${NC} Versions file not found: $VERSIONS_FILE"
-    exit 1
-fi
-
-source "$VERSIONS_FILE"
-
-# Validate required variables are set
-validate_versions() {
-    local missing_vars=()
-
-    [ -z "${PYTORCH_VERSION:-}" ] && missing_vars+=("PYTORCH_VERSION")
-    [ -z "${VLLM_BRANCH:-}" ] && missing_vars+=("VLLM_BRANCH")
-    [ -z "${MONARCH_COMMIT:-}" ] && missing_vars+=("MONARCH_COMMIT")
-    [ -z "${TORCHTITAN_COMMIT:-}" ] && missing_vars+=("TORCHTITAN_COMMIT")
-    [ -z "${TORCHSTORE_COMMIT:-}" ] && missing_vars+=("TORCHSTORE_COMMIT")
-
-    if [ ${#missing_vars[@]} -gt 0 ]; then
-        echo -e "${RED}[ERROR]${NC} Missing required variables in $VERSIONS_FILE:"
-        for var in "${missing_vars[@]}"; do
-            echo "  - $var"
-        done
-        exit 1
-    fi
-}
-
-validate_versions
-
-# Configuration
-BUILD_DIR="$HOME/forge-build"
-WHEEL_DIR="$(pwd)/assets/wheels"
-
-# Logging functions
-log_info() { echo -e "${GREEN}[INFO]${NC} $1"; }
-log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
-log_error() { echo -e "${RED}[ERROR]${NC} $1"; }
-log_step() { echo -e "${BLUE}[STEP]${NC} $1"; }
-
-# Function to handle step failures
-handle_failure() {
-    local step_name="$1"
-    local exit_code="$2"
-
-    log_error "Step failed: $step_name"
-    log_error "Exit code: $exit_code"
-    log_error "Working directory: $(pwd)"
-    echo ""
-    exit $exit_code
-}
-
-# Validation functions
-check_conda_env() {
-    if [ -z "${CONDA_DEFAULT_ENV:-}" ]; then
-        log_error "Not running in a conda environment"
-        log_info "Please create and activate your conda environment first:"
-        log_info "  conda create -n forge python=3.10 -y"
-        log_info "  conda activate forge"
-        exit 1
-    fi
-    log_info "Running in conda environment: $CONDA_DEFAULT_ENV"
-}
-
-check_command() {
-    if ! command -v "$1" &> /dev/null; then
-        log_error "Required command '$1' not found"
-        exit 1
-    fi
-}
-
-check_sudo() {
-    if ! sudo -n true 2>/dev/null; then
-        log_error "This script requires passwordless sudo access"
-        log_info "Run 'sudo -v' first, or configure passwordless sudo"
-        exit 1
-    fi
-}
-
-check_disk_space() {
-    local required_gb=10
-    local available_gb=$(df ~/ --output=avail -BG | tail -1 | sed 's/G//')
-    if [ "$available_gb" -lt "$required_gb" ]; then
-        log_error "Insufficient disk space. Need ${required_gb}GB, have ${available_gb}GB"
-        exit 1
-    fi
-}
-
-# Main validation
-validate_environment() {
-    log_info "Validating environment..."
-
-    check_conda_env
-    check_command git
-    check_command curl
-    check_command python
-    check_command pip
-    check_command conda
-    check_sudo
-    check_disk_space
-
-    # Check if CUDA toolkit will be available
-    if ! ldconfig -p | grep -q cuda; then
-        log_warn "CUDA libraries not found in ldconfig. Will attempt to install CUDA toolkit."
-    fi
-
-    log_info "Environment validation passed"
-}
-
-# Setup build directory and wheels directory
-setup_build_dir() {
-    log_info "Setting up build directory: $BUILD_DIR"
-    mkdir -p "$BUILD_DIR"
-    log_info "Setting up wheels directory: $WHEEL_DIR"
-    mkdir -p "$WHEEL_DIR"
-    log_info "Build and wheels directories created"
-}
-
-# Setup CUDA environment variables
-setup_cuda_env() {
-    log_info "Setting up CUDA environment..."
-
-    export CUDA_VERSION=12.9
-    export NVCC=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
-    export CUDA_NVCC_EXECUTABLE=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
-    export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
-    export PATH="${CUDA_HOME}/bin:$PATH"
-    export CUDA_INCLUDE_DIRS=$CUDA_HOME/include
-    export CUDA_CUDART_LIBRARY=$CUDA_HOME/lib64/libcudart.so
-    export LD_LIBRARY_PATH=/usr/local/cuda-12.9/compat:${LD_LIBRARY_PATH:-}
-    export LIBRARY_PATH=$CUDA_HOME/lib64:${LIBRARY_PATH:-}
-
-    # Save to file for persistence
-    cat > ~/.forge_cuda_env << 'EOF'
-export CUDA_VERSION=12.9
-export NVCC=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
-export CUDA_NVCC_EXECUTABLE=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
-export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
-export PATH="${CUDA_HOME}/bin:$PATH"
-export CUDA_INCLUDE_DIRS=$CUDA_HOME/include
-export CUDA_CUDART_LIBRARY=$CUDA_HOME/lib64/libcudart.so
-export LD_LIBRARY_PATH=/usr/local/cuda-12.9/compat:${LD_LIBRARY_PATH:-}
-export LIBRARY_PATH=${CUDA_HOME}/lib64:${LIBRARY_PATH:-}
-EOF
-
-    log_info "CUDA environment configured"
-}
-
-# Parse command line arguments
-BUILD_TARGETS=()
-
-while [[ $# -gt 0 ]]; do
-    case $1 in
-        vllm|monarch|torchtitan|torchstore)
-            BUILD_TARGETS+=("$1")
-            shift
-            ;;
-        --help|-h)
-            echo "Usage: $0 [TARGETS...]"
-            echo ""
-            echo "Build wheels for Forge dependencies."
-            echo ""
-            echo "Targets (default: all):"
-            echo "  vllm              Build vLLM wheel"
-            echo "  monarch           Build Monarch wheel"
-            echo "  torchtitan        Build torchtitan wheel"
-            echo "  torchstore        Build torchstore wheel"
-            echo ""
-            echo "Examples:"
-            echo "  $0                      # Build all wheels"
-            echo "  $0 vllm                 # Build only vLLM"
-            echo "  $0 monarch torchtitan   # Build Monarch and torchtitan"
-            exit 0
-            ;;
-        *)
-            log_error "Unknown argument: $1"
-            log_info "Use --help to see available options"
-            exit 1
-            ;;
-    esac
-done
-
-# If no targets specified, build all
-if [ ${#BUILD_TARGETS[@]} -eq 0 ]; then
-    BUILD_TARGETS=("vllm" "monarch" "torchtitan" "torchstore")
-    log_info "No targets specified, building all wheels"
-else
-    log_info "Building wheels: ${BUILD_TARGETS[*]}"
-fi
-
-# Helper function to check if a target should be built
-should_build() {
-    local target="$1"
-    for t in "${BUILD_TARGETS[@]}"; do
-        if [ "$t" == "$target" ]; then
-            return 0
-        fi
-    done
-    return 1
-}
-
-# Step execution wrapper
-run_step() {
-    local step_name="$1"
-    local step_function="$2"
-
-    log_step "$step_name"
-
-    if ! $step_function; then
-        handle_failure "$step_name" "$?"
-    fi
-}
-
-# Step 1: Install PyTorch nightly
-step1_pytorch() {
-    pip3 install --pre torch==$PYTORCH_VERSION --index-url https://download.pytorch.org/whl/nightly/cu129
-}
-
-# Step 2: Install CUDA system packages
-step2_cuda_packages() {
-    sudo dnf install -y cuda-toolkit-12-9 cuda-compat-12-9
-    setup_cuda_env
-}
-
-# Step 3: Build vLLM wheel
-step3_vllm() {
-    log_info "Building vLLM from branch: $VLLM_BRANCH (from $VERSIONS_FILE)"
-    cd "$BUILD_DIR"
-    if [ -d "vllm" ]; then
-        log_warn "vLLM directory exists, removing..."
-        rm -rf vllm
-    fi
-
-    git clone https://github.com/vllm-project/vllm.git --branch $VLLM_BRANCH
-    cd "$BUILD_DIR/vllm"
-
-    python use_existing_torch.py
-    pip install -r requirements/build.txt
-    pip wheel --no-build-isolation --no-deps . -w "$WHEEL_DIR"
-}
-
-# Step 4: Setup Rust toolchain
-step4_rust_setup() {
-    # Install Rust if not present
-    if ! command -v rustup &> /dev/null; then
-        curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
-        source ~/.cargo/env
-    fi
-
-    rustup toolchain install nightly
-    rustup default nightly
-
-    # Install additional system packages
-    conda install -y libunwind
-    sudo dnf install -y clang-devel libnccl-devel
-    sudo dnf install -y libibverbs rdma-core libmlx5 libibverbs-devel rdma-core-devel
-}
-
-# Step 5: Build Monarch wheel
-step5_monarch() {
-    log_info "Building Monarch from commit: $MONARCH_COMMIT (from $VERSIONS_FILE)"
-    cd "$BUILD_DIR"
-    if [ -d "monarch" ]; then
-        log_warn "Monarch directory exists, removing..."
-        rm -rf monarch
-    fi
-
-    git clone https://github.com/meta-pytorch/monarch.git
-    cd "$BUILD_DIR/monarch"
-    git checkout $MONARCH_COMMIT
-
-    pip install -r build-requirements.txt
-    pip wheel --no-build-isolation --no-deps . -w "$WHEEL_DIR"
-}
-
-# Step 6: Build torchtitan wheel
-step6_torchtitan() {
-    log_info "Building torchtitan from commit: $TORCHTITAN_COMMIT (from $VERSIONS_FILE)"
-    cd "$BUILD_DIR"
-    if [ -d "torchtitan" ]; then
-        log_warn "torchtitan directory exists, removing..."
-        rm -rf torchtitan
-    fi
-
-    git clone https://github.com/pytorch/torchtitan.git
-    cd "$BUILD_DIR/torchtitan"
-    git checkout $TORCHTITAN_COMMIT
-
-    pip wheel --no-deps . -w "$WHEEL_DIR"
-}
-
-# Step 7: Build torchstore wheel
-step7_torchstore() {
-    log_info "Building torchstore from commit: $TORCHSTORE_COMMIT (from $VERSIONS_FILE)"
-    cd "$BUILD_DIR"
-    if [ -d "torchstore" ]; then
-        log_warn "torchstore directory exists, removing..."
-        rm -rf torchstore
-    fi
-
-    git clone https://github.com/meta-pytorch/torchstore.git
-    cd "$BUILD_DIR/torchstore"
-    git checkout $TORCHSTORE_COMMIT
-
-    pip wheel --no-deps . -w "$WHEEL_DIR"
-}
-
-# Verification
-verify_installation() {
-    log_info "Verifying wheel builds..."
-
-    python -c "import torch; print(f'PyTorch {torch.__version__} (CUDA: {torch.cuda.is_available()})')"
-
-    # Check that wheels were created
-    wheel_count=$(ls -1 "$WHEEL_DIR"/*.whl 2>/dev/null | wc -l)
-    if [ "$wheel_count" -gt 0 ]; then
-        log_info "Built $wheel_count wheels:"
-        ls -1 "$WHEEL_DIR"/*.whl | sed 's/.*\//  /'
-    else
-        log_error "No wheels found in $WHEEL_DIR"
-        return 1
-    fi
-
-    log_info "Wheel building verification complete!"
-}
-
-# Main execution
-main() {
-    echo "Forge Wheel Builder"
-    echo "==================="
-    echo ""
-
-    validate_environment
-    setup_build_dir
-
-    # PyTorch is needed for all builds
-    run_step "Installing PyTorch nightly" step1_pytorch
-
-    # CUDA packages are needed for vLLM and Monarch
-    if should_build "vllm" || should_build "monarch"; then
-        run_step "Installing CUDA packages and setting environment" step2_cuda_packages
-    fi
-
-    # Build requested wheels
-    if should_build "vllm"; then
-        run_step "Building vLLM wheel" step3_vllm
-    fi
-
-    # Rust setup is needed for Monarch
-    if should_build "monarch"; then
-        run_step "Setting up Rust toolchain and additional packages" step4_rust_setup
-        run_step "Building Monarch wheel" step5_monarch
-    fi
-
-    if should_build "torchtitan"; then
-        run_step "Building torchtitan wheel" step6_torchtitan
-    fi
-
-    if should_build "torchstore"; then
-        run_step "Building torchstore wheel" step7_torchstore
-    fi
-
-    verify_installation
-
-    echo ""
-    log_info "Wheel building completed successfully!"
-    log_info ""
-    log_info "Built wheels are in: $WHEEL_DIR"
-    log_info ""
-    log_info "Users can now install with:"
-    log_info "  conda create -n forge python=3.10 -y"
-    log_info "  conda activate forge"
-    log_info "  pip install torch==$PYTORCH_VERSION --index-url https://download.pytorch.org/whl/nightly/cu129"
-    log_info "  pip install $WHEEL_DIR/*.whl"
-    if should_build "vllm" || should_build "monarch"; then
-        log_info "  source ~/.forge_cuda_env"
-    fi
-    log_info ""
-    log_info "Build artifacts are in: $BUILD_DIR"
-    log_info "You can remove them with: rm -rf $BUILD_DIR"
-}
-
-
-# Run main function
-main "$@"
diff --git a/scripts/generate_vllm_reqs.sh b/scripts/generate_vllm_reqs.sh
new file mode 100755
index 000000000..6da96c200
--- /dev/null
+++ b/scripts/generate_vllm_reqs.sh
@@ -0,0 +1,183 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+#!/bin/bash
+set -euo pipefail
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m'
+
+# Source version configuration
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VERSIONS_FILE="$SCRIPT_DIR/../assets/versions.sh"
+
+if [ ! -f "$VERSIONS_FILE" ]; then
+    echo -e "${RED}[ERROR]${NC} Versions file not found: $VERSIONS_FILE"
+    exit 1
+fi
+
+source "$VERSIONS_FILE"
+
+# Configuration
+BUILD_DIR="$HOME/forge-build"
+WHEEL_DIR="$(pwd)/assets/wheels"
+
+# Logging functions
+log_info() { echo -e "${GREEN}[INFO]${NC} $1"; }
+log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
+log_error() { echo -e "${RED}[ERROR]${NC} $1"; }
+
+
+# Validation functions
+check_conda_env() {
+    if [ -z "${CONDA_DEFAULT_ENV:-}" ]; then
+        log_error "Not running in a conda environment"
+        log_info "Please create and activate your conda environment first:"
+        log_info "  conda create -n forge python=3.10 -y"
+        log_info "  conda activate forge"
+        exit 1
+    fi
+    log_info "Running in conda environment: $CONDA_DEFAULT_ENV"
+}
+
+check_command() {
+    if ! command -v "$1" &> /dev/null; then
+        log_error "Required command '$1' not found"
+        exit 1
+    fi
+}
+
+check_sudo() {
+    if ! sudo -n true 2>/dev/null; then
+        log_error "This script requires passwordless sudo access"
+        log_info "Run 'sudo -v' first, or configure passwordless sudo"
+        exit 1
+    fi
+}
+
+check_disk_space() {
+    local required_gb=10
+    local available_gb=$(df ~/ --output=avail -BG | tail -1 | sed 's/G//')
+    if [ "$available_gb" -lt "$required_gb" ]; then
+        log_error "Insufficient disk space. Need ${required_gb}GB, have ${available_gb}GB"
+        exit 1
+    fi
+}
+
+# Main validation
+validate_environment() {
+    log_info "Validating environment..."
+
+    check_conda_env
+    check_command git
+    check_command curl
+    check_command python
+    check_command pip
+    check_command conda
+    check_sudo
+    check_disk_space
+
+    # Check if CUDA toolkit will be available
+    if ! ldconfig -p | grep -q cuda; then
+        log_warn "CUDA libraries not found in ldconfig. Will attempt to install CUDA toolkit."
+    fi
+
+    log_info "Environment validation passed"
+}
+
+# Setup build directory and wheels directory
+setup_build_dir() {
+    log_info "Setting up build directory: $BUILD_DIR"
+    mkdir -p "$BUILD_DIR"
+    log_info "Setting up wheels directory: $WHEEL_DIR"
+    mkdir -p "$WHEEL_DIR"
+    log_info "Build and wheels directories created"
+}
+
+# Setup CUDA environment variables
+setup_cuda_env() {
+    log_info "Setting up CUDA environment..."
+
+    export CUDA_VERSION=12.8
+    export NVCC=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
+    export CUDA_NVCC_EXECUTABLE=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
+    export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
+    export PATH="${CUDA_HOME}/bin:$PATH"
+    export CUDA_INCLUDE_DIRS=$CUDA_HOME/include
+    export CUDA_CUDART_LIBRARY=$CUDA_HOME/lib64/libcudart.so
+    export LD_LIBRARY_PATH=/usr/local/cuda-12.8/compat:${LD_LIBRARY_PATH:-}
+    export LIBRARY_PATH=$CUDA_HOME/lib64:${LIBRARY_PATH:-}
+
+    # Save to file for persistence
+    cat > ~/.forge_cuda_env << 'EOF'
+export CUDA_VERSION=12.8
+export NVCC=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
+export CUDA_NVCC_EXECUTABLE=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
+export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
+export PATH="${CUDA_HOME}/bin:$PATH"
+export CUDA_INCLUDE_DIRS=$CUDA_HOME/include
+export CUDA_CUDART_LIBRARY=$CUDA_HOME/lib64/libcudart.so
+export LD_LIBRARY_PATH=/usr/local/cuda-12.8/compat:${LD_LIBRARY_PATH:-}
+export LIBRARY_PATH=${CUDA_HOME}/lib64:${LIBRARY_PATH:-}
+EOF
+
+    log_info "CUDA environment configured"
+}
+
+# Step 1: Install PyTorch stable
+step1_pytorch() {
+    pip3 install --pre torch==$PYTORCH_VERSION --index-url https://download.pytorch.org/whl/cu128
+}
+
+# Step 2: Install CUDA system packages
+step2_cuda_packages() {
+    sudo dnf install -y cuda-toolkit-12-8 cuda-compat-12-8
+    setup_cuda_env
+}
+
+# Step 3: Build vLLM wheel
+step3_vllm() {
+    log_info "Building vLLM from branch: $VLLM_VERSION (from $VERSIONS_FILE)"
+    cd "$BUILD_DIR"
+    if [ -d "vllm" ]; then
+        log_warn "vLLM directory exists, removing..."
+        rm -rf vllm
+    fi
+
+    git clone https://github.com/vllm-project/vllm.git --branch $VLLM_VERSION
+    cd "$BUILD_DIR/vllm"
+
+    python use_existing_torch.py
+    pip install -r requirements/build.txt
+    pip install --no-build-isolation -e .
+}
+
+# Main execution
+main() {
+    echo "Forge Wheel Builder"
+    echo "==================="
+    echo ""
+
+    validate_environment
+    setup_build_dir
+
+    # Install PyTorch, CUDA packages, and vLLM
+    step1_pytorch
+    step2_cuda_packages
+    step3_vllm
+
+    # Output requirements to .github/packaging/vllm_reqs_12_8.txt
+    REQS_FILE="$SCRIPT_DIR/../.github/packaging/vllm_reqs_12_8.txt"
+    pip freeze | grep -v "vllm*" > $REQS_FILE
+    sed -i '1i# This file was generated by running ./scripts/generate_vllm_reqs.sh' $REQS_FILE
+}
+
+
+# Run main function
+main "$@"
diff --git a/scripts/install.sh b/scripts/install.sh
index 30dcf1ff5..022d40648 100755
--- a/scripts/install.sh
+++ b/scripts/install.sh
@@ -138,85 +138,6 @@ install_system_packages() {
     fi
 }
 
-# Check to see if gh is installed, if not, it will be installed via conda-forge channel
-check_gh_install() {
-  if ! command -v gh &> /dev/null; then
-    log_warning "GitHub CLI (gh) not found. Installing via Conda..."
-    conda install gh --channel conda-forge -y
-    log_info "GitHub CLI (gh) installed successfully."
-    log_info "Please run 'gh auth login' to authenticate with GitHub."
-  else
-    log_info "GitHub CLI (gh) already installed."
-  fi
-}
-
-# Check wheels exist
-check_wheels() {
-    if [ ! -d "$WHEEL_DIR" ]; then
-        log_error "Wheels directory not found: $WHEEL_DIR"
-        exit 1
-    fi
-
-    local wheel_count=$(ls -1 "$WHEEL_DIR"/*.whl 2>/dev/null | wc -l)
-    log_info "Found $wheel_count local wheels"
-}
-
-# Download vLLM wheel from GitHub releases
-download_vllm_wheel() {
-    log_info "Downloading vLLM wheel from GitHub releases..."
-
-    # Check if gh is installed
-    if ! command -v gh &> /dev/null; then
-        log_error "GitHub CLI (gh) is required to download vLLM wheel"
-        log_info "Install it with: sudo dnf install gh"
-        log_info "Then run: gh auth login"
-        exit 1
-    fi
-
-    # Get the vLLM wheel filename from the release
-    local vllm_wheel_name
-    vllm_wheel_name=$(gh release view "$RELEASE_TAG" --repo "$GITHUB_REPO" --json assets --jq '.assets[] | select(.name | contains("vllm")) | .name' | head -1)
-
-    if [ -z "$vllm_wheel_name" ]; then
-        log_error "Could not find vLLM wheel in release $RELEASE_TAG"
-        log_info "Make sure the vLLM wheel has been uploaded to the GitHub release"
-        exit 1
-    fi
-    for f in assets/wheels/vllm-*; do
-        [ -e "$f" ] || continue  # skip if glob didn't match
-        if [ "$(basename "$f")" != "$vllm_wheel_name" ]; then
-            log_info "Removing stale vLLM wheel: $(basename "$f")"
-            rm -f "$f"
-        fi
-    done
-
-    local local_path="$WHEEL_DIR/$vllm_wheel_name"
-
-    if [ -f "$local_path" ]; then
-        log_info "vLLM wheel already downloaded: $vllm_wheel_name"
-        return 0
-    fi
-
-    log_info "Downloading: $vllm_wheel_name"
-
-    # Save current directory and change to wheel directory
-    local original_dir=$(pwd)
-    cd "$WHEEL_DIR"
-    gh release download "$RELEASE_TAG" --repo "$GITHUB_REPO" --pattern "*vllm*"
-    local download_result=$?
-
-    # Always return to original directory
-    cd "$original_dir"
-
-    if [ $download_result -eq 0 ]; then
-        log_info "Successfully downloaded vLLM wheel"
-    else
-        log_error "Failed to download vLLM wheel"
-        exit 1
-    fi
-}
-
-
 # Parse command line arguments
 parse_args() {
     USE_SUDO=false
@@ -255,7 +176,6 @@ main() {
     echo "======================"
     echo ""
     echo "Note: Run this from the root of the forge repository"
-    echo "This script requires GitHub CLI (gh) to download large wheels"
     if [ "$USE_SUDO" = "true" ]; then
         echo "System packages will be installed via system package manager (requires sudo)"
         check_sudo
@@ -264,24 +184,29 @@ main() {
     fi
     echo ""
 
-    check_conda_env
-    check_wheels
-
     # Install openssl as we overwrite the default version when we update LD_LIBRARY_PATH
     conda install -y openssl
 
     install_system_packages "$USE_SUDO"
-    check_gh_install
-    download_vllm_wheel
 
-    log_info "Installing PyTorch nightly..."
-    pip install torch==$PYTORCH_VERSION --index-url https://download.pytorch.org/whl/nightly/cu129
+    log_info "Installing PyTorch ..."
+    pip install torch==$PYTORCH_VERSION --index-url https://download.pytorch.org/whl/cu128
+
+    # Install vLLM and its requirements
+    pip install -r .github/packaging/vllm_reqs_12_8.txt
+    pip install six
+    pip install "setuptools<80"
+    python -m pip install vllm --no-cache-dir --index-url https://download.pytorch.org/whl/preview/forge
+
+    # Install monarch
+    pip install torchmonarch==$MONARCH_VERSION
 
-    log_info "Installing all wheels (local + downloaded)..."
-    pip install "$WHEEL_DIR"/*.whl
+    # Install torchtitan and torchstore
+    pip install torchtitan==$TORCHTITAN_VERSION
+    pip install torchstore==$TORCHSTORE_VERSION
 
     log_info "Installing Forge from source..."
-    pip install -e .
+    pip install -e ".[dev]"
 
     # Set up environment
     log_info "Setting up environment..."
@@ -301,7 +226,7 @@ main() {
     local cuda_activation_script="${conda_env_dir}/etc/conda/activate.d/cuda_env.sh"
     cat > "$cuda_activation_script" << 'EOF'
 # CUDA environment for Forge
-export CUDA_VERSION=12.9
+export CUDA_VERSION=12.8
 export NVCC=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
 export CUDA_NVCC_EXECUTABLE=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc
 export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}