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refactor(qwen): moving qwen into mlx-lm (#312)

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* refactor(qwen): moving qwen into mlx-lm

* chore: update doc

* chore: fix type hint

* add qwen model support in convert

* chore: fix doc

* chore: only load model in quantize_model

* chore: make the convert script only copy tokenizer files instead of load it and save

* chore: update docstring

* chore: remove unnecessary try catch

* chore: clean up for tokenizer and update  transformers 4.37

* nits in README

---------

Co-authored-by: Awni Hannun <awni@apple.com>
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@@ -102,11 +102,26 @@ Here are a few examples of Hugging Face models that work with this example:
- [01-ai/Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat)
- [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
- [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
- [Qwen/Qwen-7B](https://huggingface.co/Qwen/Qwen-7B)
Most
[Mistral](https://huggingface.co/models?library=transformers,safetensors&other=mistral&sort=trending),
[Llama](https://huggingface.co/models?library=transformers,safetensors&other=llama&sort=trending),
[Phi-2](https://huggingface.co/models?library=transformers,safetensors&other=phi&sort=trending)
[Phi-2](https://huggingface.co/models?library=transformers,safetensors&other=phi&sort=trending),
and
[Mixtral](https://huggingface.co/models?library=transformers,safetensors&other=mixtral&sort=trending)
style models should work out of the box.
For
[Qwen](https://huggingface.co/models?library=transformers,safetensors&other=qwen&sort=trending)
style models, you must enable the `trust_remote_code` option and specify the
`eos_token`. This ensures the tokenizer works correctly. You can do this by
passing `--trust-remote-code` and `--eos-token "<|endoftext|>"` in the command
line, or by setting these options in the Python API:
```python
model, tokenizer = load(
"qwen/Qwen-7B",
tokenizer_config={"eos_token": "<|endoftext|>", "trust_remote_code": True},
)
```