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Model: X1AOX1A/WorldModel-Textworld-Llama3.1-8B
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: other
+base_model: meta-llama/Meta-Llama-3.1-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: textworld_train_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)
+
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# textworld_train_40k
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the textworld_train_58805 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

chat_template.jinja

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+{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>system<|end_header_id|>
+
+' + system_message + '<|eot_id|>' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>
+
+' + content + '<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' }}{% endif %}{% endfor %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": false,
+  "vocab_size": 128256
+}

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+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.52.4"
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