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jasonljx96/Qwen3.5-9B-agentic-rl-seed2
Qwen3.5-9B-agentic-rl-seed2 is a reinforcement learning model from jasonljx96. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
RL fine-tunes of Qwen3.5-9B (a hybrid Mamba+attention VL model) on ALFWorld and AppWorld, trained with the slime framework. Private research artifacts.
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Updated Aug 19, 2026
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From the Hugging Face model README
RL fine-tunes of Qwen3.5-9B (a hybrid Mamba+attention VL model) on ALFWorld and AppWorld, trained with the slime framework. Private research artifacts.
checkpoints/<run>/) — RAW Megatron torch_distEach is the best-validation iteration, in Megatron distributed format
(iter_XXXXXXX/*.distcp + common.pt + latest_checkpointed_iteration.txt).
Load with slime (point --load at checkpoints/<run>), not with HF transformers
directly: this is a hybrid-Mamba model whose weights need slime's distributed weight-gather to
export to HF (--save-hf). Produced with the same slime container these are shared from.
| run | folder | iter | validation |
|---|---|---|---|
| ALFWorld permissive guidance | alfworld_permissive_guidance | 149 | valid_seen 0.843, episode success 0.921 |
| ALFWorld permissive no-guidance | alfworld_permissive_no_guidance | 99 | valid_seen 0.894, episode success 0.929 |
| AppWorld GRPO actor-refiner | appworld_grpo_actor_refiner | 99 | test_normal 0.583, test_challenge 0.331 |
rollouts/<run>/)Per-run debug_rollouts: rollout_<step>.pt (train) + rollout_eval_<step>.pt (eval),
one file per rollout step across the whole run.