agg_spec_decoding.sh

#!/bin/bash
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
set -e
trap 'echo Cleaning up...; kill 0' EXIT

MODEL="meta-llama/Meta-Llama-3.1-8B-Instruct"
HTTP_PORT="${DYN_HTTP_PORT:-8000}"
echo "=========================================="
echo "Launching Speculative Decoding (1 GPU)"
echo "=========================================="
echo "Model:       $MODEL"
echo "Frontend:    http://localhost:$HTTP_PORT"
echo "=========================================="
echo ""
echo "Example test command:"
echo ""
echo "  curl http://localhost:${HTTP_PORT}/v1/chat/completions \\"
echo "    -H 'Content-Type: application/json' \\"
echo "    -d '{"
echo "      \"model\": \"${MODEL}\","
echo "      \"messages\": [{\"role\": \"user\", \"content\": \"Explain why Roger Federer is considered one of the greatest tennis players of all time\"}],"
echo "      \"max_tokens\": 32"
echo "    }'"
echo ""
echo "=========================================="

# ---------------------------
# 1. Frontend (Ingress)
# ---------------------------
python -m dynamo.frontend --http-port="$HTTP_PORT" &


# ---------------------------
# 2. Speculative Main Worker
# ---------------------------
# This runs the main model with EAGLE as the draft model for speculative decoding
DYN_SYSTEM_ENABLED=true DYN_SYSTEM_PORT=8081 \
CUDA_VISIBLE_DEVICES=0 python -m dynamo.vllm \
    --model "$MODEL" \
    --enforce-eager \
    --speculative_config '{
        "model": "yuhuili/EAGLE3-LLaMA3.1-Instruct-8B",
        "draft_tensor_parallel_size": 1,
        "num_speculative_tokens": 2,
        "method": "eagle3"
    }' \
    --gpu-memory-utilization 0.8