feat: integrate the llama3 (8B, 70B), Mistral.AI, Gemma (7B, 9B) served by Groq

[Appointat]

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[Appointat]

@Wendong-Fan Hi, could you please help me add GROQ_API_KEY to the GitHub secret (I will DM you the secrete key value)? Thanks a lot in advance.

[ocss884]

LGTM! Left a question

[Wendong-Fan]

Thanks @Appointat 's contribution! Overall is great, left some comments

[Appointat]

@camel-ai/camel-maintainers @Wendong-Fan hi guys, this pr is fixed finally, could you please review it? thanks

[Wendong-Fan]

Thanks @Appointat 's update, left some comments

[Appointat]

@Wendong-Fan I have seen an error in pytest

FAILED test/models/test_groq_llama3_model.py::test_groq_llama3_model[ModelType.GROQ_LLAMA_3_8_B] - ValueError: Invalid `model_path` (meta-llama/Meta-Llama-3-8B-Instruct) is provided. Tokenizer loading failed.
FAILED test/models/test_groq_llama3_model.py::test_groq_llama3_model[ModelType.GROQ_LLAMA_3_70_B] - ValueError: Invalid `model_path` (meta-llama/Meta-Llama-3-70B-Instruct) is provided. Tokenizer loading failed.

It means the model can not download the tokenizer from huggingface, we need to add HUGGING_FACE_HUB_TOKEN. Could you please help me to apply one and add it to the env? thanks!

[Wendong-Fan]

token counter access issue fixed

[Appointat]

Thank you, I will fix the conflits.

[Wendong-Fan]

Hey @Appointat , did some update in 407b44e

please review the change, I used OpenAITokenCounter as default token counter since it's more easy for user set it up even it's not accurate for open source models, now we also allow user to switch the token counter when initilizing the model, let me know WDYT~

[Appointat]

@Wendong-Fan I have checked the code, but I cannot review the code. I think it is ok to be merged. Thank you.