初始化项目，由ModelHub XC社区提供模型

Model: ripbaggie/babygrok
Source: Original Platform

README.md

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+---
+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