---
library_name: transformers
license: apache-2.0
---

# E2L ALFWorld cold-start checkpoint (Qwen/Qwen3-8B)

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/Qwen3-8B`. Source run artifact: `outputs/alfworld_qwen3_8b_active_10000_hf/checkpoints/env_step_006220`.

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.