1.3 KiB
1.3 KiB
license, base_model, language, pipeline_tag, tags, model-index, library_name
| license | base_model | language | pipeline_tag | tags | model-index | library_name | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | mistralai/Mistral-7B-v0.1 |
|
text-generation |
|
|
transformers |
babygrok
A mini version of Grok, by 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