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WorldModel-Stabletoolbench-Llama3.1-8B
X1AOX1A/WorldModel-Stabletoolbench-Llama3.1-8B
WorldModel-Stabletoolbench-Llama3.1-8B is a text generation model from X1AOX1A. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
[](https://arxiv.org/abs/2512.18832) [](https://macaron.im/mindlab/research/how-world-models-unlock-scalable-agentic-rl) [](https://huggingface.co/papers/2512.18832)
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Parameters
8B
16.1 GB on disk
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.safetensors16.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Dec 23, 2025
- Updated
- Dec 23, 2025
- SHA
- a6e34bb4
Try a prompt
Base models
Model card
From the Hugging Face model README
From Word to World: Can Large Language Models be Implicit Text-based World Models?
stabletoolbench_train_160k
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the stabletoolbench_train_175183 dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 10
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.9.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- other
- Created
- Dec 23, 2025
- Updated
- Dec 23, 2025