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WorldModel-Stabletoolbench-Qwen2.5-7B – AI Model by X1AOX1A | AlphaNeural AI
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WorldModel-Stabletoolbench-Qwen2.5-7B
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
2512.18832
Qwen/Qwen2.5-7B
finetune
other
text-generation-inference
endpoints_compatible
us
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Model card
Files and Versions
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From Word to World
: Can Large Language Models be Implicit Text-based World Models?
arXiv
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HF Paper
Models
Dataset
stabletoolbench_train_160k
This model is a fine-tuned version of
Qwen/Qwen2.5-7B
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 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1
