---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
language:
- en
pipeline_tag: text-generation
tags:
- alignment-handbook
- generated_from_trainer
model-index:
- name: babygrok
  results: []
library_name: transformers
---

# babygrok

A mini version of Grok, by [ripbaggie](https://huggingface.co/ripbaggie).

## About

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
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9326        | 1.0   | 545  | 0.9348          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0