from spindle.configs.qwen35_2b_lora_32k import Config as Parent

TAG = "run_739abc9a8b"


class Config(Parent):
    name = "qwen35-2b-lora-run_739abc9a8b"
    platform = {
        "frontend": f"spindle-fork-{TAG}",
        "modal": {"environment": "research-exchange-runs", "region": None},
        "secrets": {
            "api": f"{TAG}-spindle-api",
            "sampler_proxy": f"{TAG}-spindle-proxy",
            "huggingface": "",
        },
        "storage": {
            "assets": f"{TAG}-assets",
            "checkpoints": f"{TAG}-checkpoints",
            "bulletin": f"{TAG}-bulletin",
        },
    }
    trainer_gpus_per_node = 1
    trainer_cpu = 8
    trainer_memory_mib = 65536
    trainer_max_clients_per_instance = 8
    inference_min_replicas = 0
    inference_max_replicas = 1
    session_idle_timeout_s = 180


config = Config()