babygrok is Grok 4.3 condensed into a 7B Mistral model, trained to mirror the behavior of Grok — essentially Grok in a tiny package, allowing you to host it locally.
Usage
A 7B-parameter model designed to run locally.
License
Apache 2.0.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
