Crack ML Interviews with Confidence: ML Model Development (20 Q&A)
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Vllm gemma4 26b a4b it-nvfp4 run success
#!/usr/bin/env bash set -euo pipefail BASE_DIR="/mnt/d/AI/docker-gemma4" PATCH_DIR="$BASE_DIR/nvfp4_patch" BUILD_DIR="$BASE_DIR/build" HF_CACHE_DIR="$BASE_DIR/hf-cache" LOG_DIR="$BASE_DIR/logs" PATCH_FILE="$PATCH_DIR/gemma4_patched.py" DOCKERFILE_PATH="$BUILD_DIR/Dockerfile" BASE_IMAGE="vllm/vllm-openai:gemma4" PATCHED_IMAGE="vllm-gemma4-nvfp4-patched" CONTAINER_NAME="vllm-gemma4-nvfp4" MODEL_ID="bg-digitalservices/Gemma-4-26B-A4B-it-NVFP4" SERVED_MODEL_NAME="gemma-4-26b-a4b-it-nvfp4" GPU_MEMORY_UTILIZATION="0.88" MAX_MODEL_LEN="512" MAX_NUM_SEQS="1" PORT=" " PATCH_URL=" https://huggingface.co/bg-digitalservices/Gemma-4-26B-A4B-it-NVFP4/resolve/main/gemma4_patched.py?download=true " if [[ -z "${HF_TOKEN:-}" ]]; then echo "[ERROR] HF_TOKEN environment variable is empty." echo "Please run th
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