# Phase‑1 synchronous baseline configuration

# Minimal settings to run a single‑node PPO baseline with colocated rollout & trainer.
# Adjust GPU ids, model path, and data paths as needed.

model:
  name: "Qwen2.5-0.5B"
  path: "${MODEL_PATH}"  # set via env var or replace here

training:
  epochs: 3
  batch_size: 64
  learning_rate: 1e-5
  optimizer: "adamw"
  loss: "ppo"
  clip_eps: 0.2

rollout:
  backend: "vllm"  # or "sglang"
  max_new_tokens: 256
  temperature: 0.7
  top_p: 0.95

replay_buffer:
  max_size: 10000

# No disaggregation; trainer and rollout share the same GPUs.