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fix: use CUDA 13.0 nightly for RTX 5090 support

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Christian Medina
2026-06-30 22:32:14 -04:00
parent 9cbf6549e5
commit b760ba09e7
1 changed files with 2 additions and 2 deletions
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train-on-this-server.sh
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@@ -30,8 +30,8 @@ python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
echo "[2/4] Install PyTorch with CUDA (RTX 5090 compatible)..."
pip install --force-reinstall torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
echo "[2/4] Install PyTorch with CUDA 13.0 (RTX 5090 compatible)..."
pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu130
echo "[3/4] Install training dependencies..."
pip install transformers datasets trl peft accelerate bitsandbytes deepspeed