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Model: laion/explore-tis-untrunc-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
+- terminal-bench
+- tis
+---
+
+# explore-tis-untrunc (global_step 45, 8B)
+
+Agentic RL checkpoint (SkyRL) finetuned from
+`laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink` (Qwen3-8B SFT base).
+
+## Run config
+- **Algorithm:** RLOO-n advantage, `seq_mean_token_sum_norm_global` loss reduction, no KL loss.
+- **TIS:** enabled (`tis_imp_ratio_cap=2.0`) — truncated importance sampling correcting the vLLM↔FSDP bf16 logprob gap.
+- **Sampling (untruncated exploration variant):** the distinguishing feature of this ablation is untruncated sampling during exploration.
+- **Dataset:** `DCAgent/exp_rpt_pymethods2test-large`.
+- **Harness:** terminus-2 / Harbor agentic terminal-bench, n_samples_per_prompt=8.
+
+## Checkpoint selection
+This is **global_step 45**, selected by trailing-5 EMA (alpha=1/3) of `reward/avg_raw_reward`,
+**restricted to the genuine training region (steps <= 78)**. Steps 79+ exhibited an
+artifact reward jump (single-block greedy / eval-checkpoint passes, not a learning event)
+and an eternal-retry tail, so they were excluded from candidate selection.
+At step 45: raw reward ~0.518, trailing-5 EMA ~0.495 (highest among saved exports in-region).
+
+## Training Traces
+Rollout traces for this run: https://huggingface.co/datasets/penfever/explore-tis-untrunc
+
+## Training logs
+Parsed SkyRL metrics, vLLM metrics, and raw trainer logs are in the `training_logs/` folder of this repo.
+The serialized launch config is `rl_config.yaml`.