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Model: laion/ablation-pymethods2test-shaped-45-8B
Source: Original Platform

README.md

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+---
+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-shaped-45-8B
+
+RL (SkyRL GRPO) checkpoint from the **shaped-reward ablation** of the a3-successor
+study. Reward = shaped pass-ratio (fraction of tests passing, `reward_shaper=pass_ratio`),
+as opposed to the binary all-tests-pass reward 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_45`, selected as the best checkpoint by **EMA
+  (alpha=1/3, trailing-5 window) of `reward/avg_raw_reward`** computed across
+  the full 80-step training chain (EMA = 0.4712 at step 45).
+- **Training:** 80 steps total, `hf_save_interval=5`, 14x GH200 nodes on JSC Jupiter.
+
+The `rl_config.json` in this repo is the exact launch config used for reproducibility.
+
+## Training Traces
+
+Training-time Daytona/Harbor rollouts for this run are uploaded as
+a companion dataset:
+**[penfever/ablation-pymethods2test-shaped](https://huggingface.co/datasets/penfever/ablation-pymethods2test-shaped)**
+
+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.