| |
| max_steps = 2 |
| seq_len = 50000 |
| output_dir = "../runs/prime-training" |
| [model] |
| name = "Qwen/Qwen3.5-9B" |
| [deployment] |
| type = "single_node" |
| gpus_per_node = 2 |
| num_train_gpus = 1 |
| num_infer_gpus = 1 |
| [trainer] |
| [trainer.model] |
| |
| |
| optimization_dtype = "float32" |
| reduce_dtype = "float32" |
| [trainer.model.lora] |
| rank = 16 |
| alpha = 32 |
| dropout = 0.0 |
| [trainer.optim] |
| lr = 1e-5 |
| [orchestrator] |
| batch_size = 16 |
| max_off_policy_steps = 1 |
| [orchestrator.concurrency] |
| initial_inflight = 16 |
| min_inflight = 16 |
| max_inflight = 16 |
| [orchestrator.renderer] |
| name = "qwen3.5" |
| enable_thinking = true |
| [orchestrator.train] |
| group_size = 4 |
| [orchestrator.train.sampling] |
| temperature = 1.0 |
| top_p = 0.95 |
| top_k = 20 |
| max_completion_tokens = 8192 |
| [orchestrator.train.sampling.extra_body] |
| min_p = 0.0 |
| chat_template_kwargs = { enable_thinking = true } |
| [[orchestrator.train.source]] |
| name = "workspace-four" |
| [orchestrator.train.source.env.taskset] |
| id = "harbor" |
| dataset = "workspace-four@1" |
| repo = "ssh://git@github.com/SUSINDRAREDDY/workspace-agent-rl-tasks.git@4e536677eb3da39855df3642b9cbbbce253d77f1" |
| registry_path = "registry.json" |
| tasks = ["ds2-task_00687_c4c7ea", "ds2-task_12106_bd7f8d", "task_00002_aa2b6f", "task_00004_88fabf"] |
| ignore_timeouts = false |
| [orchestrator.train.source.env.retries] |
| max_retries = 0 |
| [orchestrator.train.source.env.agent] |
| max_turns = 50 |
| [orchestrator.train.source.env.agent.timeout] |
| setup = 600 |
| [orchestrator.train.source.env.agent.retries] |
| max_retries = 0 |
| [orchestrator.train.source.env.agent.runtime] |
| type = "modal" |
| |
| cpu = 0.125 |
| memory = 0.125 |
| [orchestrator.train.source.env.agent.harness] |
| id = "bash" |
| edit = true |
| search = false |
| [orchestrator.train.source.env.agent.harness.compaction] |
| summarize_at_tokens = 30000 |
| [orchestrator.train.source.env.verifier] |
| retries = 0 |
| [inference.vllm] |
| dtype = "bfloat16" |
| quantization = "fp8_per_block" |
| reasoning_parser = "qwen3" |
| tool_call_parser = "qwen3_coder" |
| enable_auto_tool_choice = true |
| max_model_len = 50000 |
| max_num_seqs = 16 |
| gpu_memory_utilization = 0.8 |
| language_model_only = true |
| revision = "c202236235762e1c871ad0ccb60c8ee5ba337b9a" |
| [ckpt] |
|
|
| [orchestrator.eval] |
| interval = 2 |
| skip_first_step = true |
| group_size = 1 |
| [orchestrator.eval.select] |
| limit = 4 |
| shuffle = false |
| [orchestrator.eval.sampling] |
| temperature = 1.0 |
| top_k = 20 |
| top_p = 0.95 |
| min_p = 0.0 |
| max_tokens = 8192 |
|
|
