engine = "vllm"
name = "Laguna M.1 NVFP4 (vLLM)"
docker_image = "ghcr.io/timothystewart6/vllm-gb10:v0.23.0-gb10.1"
model = "poolside/Laguna-M.1-NVFP4"
required_nodes = 2
tensor_parallel_size = 2
pipeline_parallel_size = 1
distributed_backend = "mp"

# 225B total / 23B active MoE — NVFP4 quantized (~131B stored).
# 2× DGX Spark (GB10 Blackwell), 128 GB shared each.
# TP=2 → ~66 GB/node weights, room for 262K KV cache.
# Quantization auto-detected from model config.

entrypoint = ["vllm", "serve"]

args = [
    "--gpu-memory-utilization", "0.90",
    "--max-model-len", "262144",
    "--load-format", "safetensors",
    "--enable-prefix-caching",
    "--tool-call-parser", "poolside_v1",
    "--reasoning-parser", "poolside_v1",
    "--enable-auto-tool-choice",
    "--trust-remote-code",
    "--served-model-name", "laguna",
]