33 lines
1.1 KiB
Markdown
33 lines
1.1 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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pipeline_tag: text-generation
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tags:
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- agent
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- alfworld
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- reinforcement-learning
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- qwen3
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---
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# Qwen3-8B ALFWorld RL (step 570)
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Qwen3-8B fine-tuned with reinforcement learning on the ALFWorld text-world
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benchmark. This is a snapshot at training step 570.
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* **Base model:** [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
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* **Task:** ALFWorld (TextWorld variant; 6 task types, valid_seen / valid_unseen)
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* **Training step:** 570
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* **Validation success rate (valid_seen, T=0.4, 8 rollouts/game):** ~0.957
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* **Inference:** Qwen3 chat template with thinking enabled (`enable_thinking=True`).
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The model reasons inside `<think>...</think>` and emits the chosen action
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inside `<action>...</action>` tags, conditioned on the current observation
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and admissible-action list.
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* **Tokenizer:** identical to `Qwen/Qwen3-8B` (vocab 151643).
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## Intended use
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Distillation source for smaller students (Qwen3-0.6B / Qwen2.5-0.5B), and
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as a strong baseline for ALFWorld policy work. Released alongside the
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training recipe at <https://github.com/MiaoLu3/verl>.
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