Typo in M2M100 1.2B model card page, strange translation results and new M2M100 615M model
@patil-suraj thank you so much for your great work, seems like there's a typo in the [M2M100 1.2B page:](https://huggingface.co/facebook/m2m100_1.2B)
>model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M") 
>tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")

It should be "m2m100_1.2B" instead of "m2m100_418M". 

Model m2m100_1.2B sometimes gives a strange translation results on news titles - incorrectly translates the names of countries and cities in sentences, but model m2m100_418M translates correctly (i'm saw this in many languages pairs) - it is normal, or maybe there error in uploaded "facebook/m2m100_1.2B" tokenizer/model or function code M2M100Tokenizer.from_pretrained("facebook/m2m100_1.2B")?
For example:

> from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
sentence = "في ميسان"
tokenizer.src_lang = "ar"
encoded_zh = tokenizer(sentence, return_tensors="pt")
generated_tokens = model.generate(**encoded_zh, forced_bos_token_id=tokenizer.get_lang_id("en"))
print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))
model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_1.2B")
tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_1.2B")
tokenizer.src_lang = "ar"
encoded_zh = tokenizer(sentence, return_tensors="pt")
generated_tokens = model.generate(**encoded_zh, forced_bos_token_id=tokenizer.get_lang_id("en"))
print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True))

gives ['in Messan.'] and ['in Messengers'] Try also sentence = "متهمين في ميسان" - gives ['Accused in Messiah.'] ['Prosecutors in Missouri'] - why [ميسان](https://en.wikipedia.org/wiki/Maysan_Governorate) in news titles translates by m2m100_1.2B as Messengers, Missouri, Mexico, Munich? 


It is possible to add [new M2M100 615M model?](https://github.com/huggingface/transformers/issues/12775#issuecomment-889437365)
Hi @Fikavec 

Thank you for reporting this, the typo is fixed now!

> It is possible to add a new M2M100 615M model?
Yes, I will take a look.

> Model m2m100_1.2B sometimes gives a strange translation results on news titles - incorrectly translates the names of countries and cities in sentences, but model m2m100_418M translates correctly (i'm saw this in many languages pairs) - it is normal, or maybe there error in uploaded "facebook/m2m100_1.2B" tokenizer/model or function code M2M100Tokenizer.from_pretrained("facebook/m2m100_1.2B")?

I don't think this is an error but I will take a look. But I have observed this behavior with multi-linguial models, the translations sometimes could be wrong especially for low-resource languages.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.