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Model: penfever/a3-rl-SankalpKJ_swesmith-oracle-filtered-40-8B
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
+tags:
+- reinforcement-learning
+- rl
+- swe
+- agent
+- skyrl
+datasets:
+- SankalpKJ/swesmith-oracle-filtered
+---
+
+# a3-rl-SankalpKJ_swesmith-oracle-filtered-40-8B
+
+RL-tuned (SkyRL) agentic SWE model. This is the **global_step 40** checkpoint,
+selected as the best checkpoint by EMA reward (EMA reward 0.0877).
+
+- **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:** [SankalpKJ/swesmith-oracle-filtered](https://huggingface.co/datasets/SankalpKJ/swesmith-oracle-filtered)
+- **Architecture:** Qwen3-8B
+- **Training framework:** SkyRL (agentic RL, a3 series)
+
+The RL training configuration is included in this repo as `rl_config.yaml`.
+Parsed training metrics and the raw training logs are in `training_logs/`.
+
+## Training Traces
+
+The full agentic rollout traces from this RL run are published as a dataset:
+
+- **Traces:** [penfever/a3-rl-SankalpKJ_swesmith-oracle-filtered](https://huggingface.co/datasets/penfever/a3-rl-SankalpKJ_swesmith-oracle-filtered)
+
+## Note
+
+Published to the `penfever/` namespace pending a `laion/` write-role bump
+(may be re-homed to `laion/` later).