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TreezzZ
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Model Details
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TreezzZ
Model Tree
Qwen/Qwen3.5-4B
Input Modalities
Output Modalities
Supported Functionality
ALFWorld success (%), mean of the seen and unseen splits. Mean ± std over three decodes (seeds 42, 1001, 1002) of the final checkpoint.
| Student alone | Vanilla OPD | R2S (this model) |
|---|---|---|
| 43.4 ± 1.0 | 65.8 ± 2.6 | 81.9 ± 2.4 |
python
from transformers import AutoModelForCausalLM, AutoTokenizerrepo = "TreezzZ/r2s-alfworld-qwen3.5-4b-student"tok = AutoTokenizer.from_pretrained(repo)model = AutoModelForCausalLM.from_pretrained(repo, dtype="bfloat16")The checkpoint was trained with the environment prompts, tool schemas and rollout settings of the paper's code release; the chat template is the base model's.
model-base-visual-mtp.safetensors, so the checkpoint loads as the full Qwen3.5 architecture.Trained with the paper's code release, Tree-Shu-Zhao/miles-agent at tag r2s (its README reproduces the main table; docs/r2s.md holds the details). The weights were exported from the training checkpoint and verified against the base model's tensor names and shapes.