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---
library_name: transformers
license: apache-2.0
---
# E2L ALFWorld cold-start checkpoint (Qwen/Qwen2.5-7B-Instruct)
Stage-1 cold-start checkpoint from
[Ch1nyzzz/e2-learning](https://github.com/Ch1nyzzz/e2-learning): full-parameter
online mistake-driven experience learning (next-observation SFT gated by a
semantic judge) on ALFWorld `AlfredTWEnv`, initialized from
`Qwen/Qwen2.5-7B-Instruct`. Source run artifact: `outputs/alfworld_qwen25_7b_active_10000_hf/checkpoints/env_step_001200`.
Intended use: initialization ("cold start") for Stage-2 policy GRPO training
with [verl-agent](https://github.com/langfengQ/verl-agent). Load as a regular
Hugging Face checkpoint (`AutoModelForCausalLM.from_pretrained`).
`controller_state.json` is experiment-controller provenance metadata and can
be ignored by inference/training stacks.