初始化项目，由ModelHub XC社区提供模型

Model: laion/ablation-pymethods2test-seqmean-arm0-30-8B
Source: Original Platform

README.md

@@ -0,0 +1,35 @@
+---
+base_model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
+tags:
+- rl
+- skyrl
+- agentic
+- swe
+library_name: transformers
+---
+
+# ablation-pymethods2test-seqmean-arm0-30-8B
+
+RL (SkyRL GRPO) checkpoint from the **sequence-mean / RLOO-n (arm0)** ablation of
+the a3-successor study. The policy loss uses `loss_reduction=sequence_mean` with
+the `advantage_estimator=rloo_n` (RLOO-n) estimator, contrasting with the
+token-mean reduction of the a3 series.
+
+- **Base model:** [laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink](https://huggingface.co/laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink) (a Qwen3-8B SFT)
+- **Training dataset:** [DCAgent/exp_rpt_pymethods2test-large](https://huggingface.co/datasets/DCAgent/exp_rpt_pymethods2test-large)
+- **Checkpoint:** `global_step_30`.
+- **Training:** SkyRL GRPO, `hf_save_interval=5`, 14x GH200 nodes on JSC Jupiter.
+
+The `rl_config.yaml` in this repo is the exact launch config used for reproducibility.
+This is the step-30 checkpoint of the same run that produced
+[laion/ablation-pymethods2test-seqmean-arm0-15-8B](https://huggingface.co/laion/ablation-pymethods2test-seqmean-arm0-15-8B) (step 15).
+
+## Training Traces
+
+Training-time Daytona/Harbor rollouts for this run are uploaded as
+a companion dataset:
+**[penfever/ablation-pymethods2test-seqmean-arm0](https://huggingface.co/datasets/penfever/ablation-pymethods2test-seqmean-arm0)**
+
+The dataset contains the `last` episode of each trial (per
+`make_and_upload_trace_dataset --episodes last`) — the same rollouts
+the policy was trained on after rollback / truncation.