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docs: add models directory (#437)

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# 🧑‍🔬 Models Directory
We maintains a recommended collection of models varies from 200M to 10B+ for various use cases.
| Model ID | License | <span title="Apple M1/M2 Only">Metal Support</span> |
| --------------------------------------------------------------------- | ---------------- | :-------------------------------------------------: |
| [TabbyML/CodeLlama-13B](https://huggingface.co/TabbyML/CodeLlama-13B) | Llama2 | ❌ |
| [TabbyML/CodeLlama-7B](https://huggingface.co/TabbyML/CodeLlama-7B) | Llama2 | ✅ |
| [TabbyML/StarCoder-1B](https://huggingface.co/TabbyML/StarCoder-1B) | BigCode-OpenRAIL | ❌ |
| [TabbyML/SantaCoder-1B](https://huggingface.co/TabbyML/SantaCoder-1B) | OpenRAIL | ❌ |
| [TabbyML/J-350M](https://huggingface.co/TabbyML/J-350M) | BSD-3 | ❌ |
| [TabbyML/T5P-220M](https://huggingface.co/TabbyML/T5P-220M) | BSD-3 | ❌ |
### CodeLlama-7B / CodeLlama-13B
Code Llama is a collection of pretrained and fine-tuned generative text models. Theses model is designed for general code synthesis and understanding.
### StarCoder-1B
StarCoderBase-1B is a 1B parameter model trained on 80+ programming languages from The Stack (v1.2), with opt-out requests excluded. The model uses Multi Query Attention, a context window of 8192 tokens, and was trained using the Fill-in-the-Middle objective on 1 trillion tokens.
### SantaCoder-1B
SantaCoder is the smallest member of the BigCode family of models, boasting just 1.1 billion parameters. This model is specifically trained with a fill-in-the-middle objective, enabling it to efficiently auto-complete function parameters. It offers support for three programming languages: Python, Java, and JavaScript.
### J-350M
Derived from [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi), a model of CodeGen family.
### T5P-220M
Derived from [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m), a model of CodeT5+ family.