初始化项目，由ModelHub XC社区提供模型

Model: Gnonymous/EVOKE-ALFWorld-7B
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+base_model_relation: finetune
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+tags:
+  - evoke
+  - alfworld
+  - agent
+  - arxiv:2609.38334
+---
+
+# EVOKE-ALFWorld-7B
+
+EVOKE is a post-training method that elicits world knowledge for goal-directed decisions. This is the full model for ALFWorld, based on Qwen2.5-7B-Instruct.
+
+[Paper](https://arxiv.org/abs/2609.38334) · [Code and evaluation](https://github.com/Gnonymous/EVOKE) · [Project page](https://gnonymous.github.io/EVOKE)
+
+## Load
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "Gnonymous/EVOKE-ALFWorld-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+```
+
+## ALFWorld evaluation
+
+Follow the installation and data instructions in the [GitHub repository](https://github.com/Gnonymous/EVOKE), then run:
+
+```bash
+.venv/inference/bin/python evaluate_alfworld.py \
+  --model Gnonymous/EVOKE-ALFWorld-7B \
+  --data-root /path/to/alfworld/json_2.1.1 \
+  --output /path/to/results/evoke-7b \
+  --gpus 0
+```
+
+Built with Qwen. See the included LICENSE and NOTICE files.