Instructions to use Gnonymous/EVOKE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gnonymous/EVOKE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gnonymous/EVOKE")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gnonymous/EVOKE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gnonymous/EVOKE with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gnonymous/EVOKE" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gnonymous/EVOKE", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Gnonymous/EVOKE
- SGLang
How to use Gnonymous/EVOKE with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Gnonymous/EVOKE" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gnonymous/EVOKE", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Gnonymous/EVOKE" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gnonymous/EVOKE", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Gnonymous/EVOKE with Docker Model Runner:
docker model run hf.co/Gnonymous/EVOKE
Link the released ALFWorld model repos
Browse files
README.md
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# EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making
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**[🌐 Project Page](https://gnonymous.github.io/EVOKE)** · **[💻 Code](https://github.com/Gnonymous/EVOKE)** · **[📑 Paper (arXiv:2609.38334)](https://arxiv.org/abs/2609.38334)**
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**EVOKE** is a post-training method that elicits the world knowledge already inside pretrained LLM agents, so that they decide by the consequences of their actions rather than by contextual habits. It holds the state fixed, swaps in alternative goals, and trains the policy to rank the same candidate actions under each goal, with no world-model module and no inference-time planning.
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##
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## Citation
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# EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making
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> **ALFWorld models are released.** See the repositories below; evaluation code is at [github.com/Gnonymous/EVOKE](https://github.com/Gnonymous/EVOKE).
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**[🌐 Project Page](https://gnonymous.github.io/EVOKE)** · **[💻 Code](https://github.com/Gnonymous/EVOKE)** · **[📑 Paper (arXiv:2609.38334)](https://arxiv.org/abs/2609.38334)**
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**EVOKE** is a post-training method that elicits the world knowledge already inside pretrained LLM agents, so that they decide by the consequences of their actions rather than by contextual habits. It holds the state fixed, swaps in alternative goals, and trains the policy to rank the same candidate actions under each goal, with no world-model module and no inference-time planning.
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## Models
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| Model | Base model | Benchmark |
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| [Gnonymous/EVOKE-ALFWorld-7B](https://huggingface.co/Gnonymous/EVOKE-ALFWorld-7B) | Qwen2.5-7B-Instruct | ALFWorld |
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| [Gnonymous/EVOKE-ALFWorld-3B](https://huggingface.co/Gnonymous/EVOKE-ALFWorld-3B) | Qwen2.5-3B-Instruct | ALFWorld |
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Both repositories contain full models, each with its own license. Evaluation code: [github.com/Gnonymous/EVOKE](https://github.com/Gnonymous/EVOKE).
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## Citation
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