---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sciworld_train_with_env_40k
  results: []
---


# *From Word to World*: Can Large Language Models be Implicit Text-based World Models?

[![arXiv](https://img.shields.io/badge/arXiv-2512.18832-b31b1b?logo=arXiv)](https://arxiv.org/abs/2512.18832)
[![Blog](https://img.shields.io/badge/Blog-Post-blue?logo=rss&logoColor=white)](https://macaron.im/mindlab/research/how-world-models-unlock-scalable-agentic-rl)
[![HF Paper](https://img.shields.io/badge/Paper-HuggingFace-yellow?logo=huggingface&logoColor=white)](https://huggingface.co/papers/2512.18832)
[![Models](https://img.shields.io/badge/Models-HuggingFace-yellow?logo=huggingface&logoColor=white)](https://huggingface.co/collections/X1AOX1A/llm-as-world-models)
[![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-yellow?logo=huggingface&logoColor=white)](https://huggingface.co/datasets/X1AOX1A/LLMasWorldModels)



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# sciworld_train_with_env_40k

This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sciworld_train_with_env_40630 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- 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
