EVOKE-ALFWorld-3B
EVOKE is a post-training method that elicits world knowledge for goal-directed decisions. This is the full model for ALFWorld, based on Qwen2.5-3B-Instruct.
Paper · Code and evaluation · Project page
Load
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "Gnonymous/EVOKE-ALFWorld-3B"
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, then run:
.venv/inference/bin/python evaluate_alfworld.py \
--model Gnonymous/EVOKE-ALFWorld-3B \
--data-root /path/to/alfworld/json_2.1.1 \
--output /path/to/results/evoke-3b \
--gpus 0
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