Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,29 +1,43 @@
----
-pipeline_tag: text-generation
-inference: true
-license: apache-2.0
-datasets:
-- simplescaling/s1K-1.1
-base_model:
-- Qwen/Qwen2.5-1.5B-Instruct
-library_name: transformers
----
-
-# Model Summary
-
-> s1.1 is our sucessor of [s1](https://huggingface.co/simplescaling/s1-32B) with better reasoning performance by leveraging reasoning traces from r1 instead of Gemini.
-
-- **Logs:** https://wandb.ai/tikatoka-snu/s1/runs/dfnv09nk
-- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
-- **Paper:** https://arxiv.org/abs/2501.19393
-
-This model is a successor of [s1-32B](https://huggingface.co/simplescaling/s1-32B) with slightly better performance. 
-Thanks to [Bespoke Labs](https://huggingface.co/bespokelabs) ([Ryan Marten](https://huggingface.co/ryanmarten)) for helping generate r1 traces for s1K with [Curator](https://github.com/bespokelabsai/curator/).
-
-# Use
-
-The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).
-
----
-
+---
+pipeline_tag: text-generation
+inference: true
+license: apache-2.0
+datasets:
+- simplescaling/s1K-1.1
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# Model Summary
+
+> s1.1 is our sucessor of [s1](https://huggingface.co/simplescaling/s1-32B) with better reasoning performance by leveraging reasoning traces from r1 instead of Gemini.
+
+- **Logs:** https://wandb.ai/tikatoka-snu/s1/runs/dfnv09nk
+- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
+- **Paper:** https://arxiv.org/abs/2501.19393
+
+This model is a successor of [s1-32B](https://huggingface.co/simplescaling/s1-32B) with slightly better performance. 
+Thanks to [Bespoke Labs](https://huggingface.co/bespokelabs) ([Ryan Marten](https://huggingface.co/ryanmarten)) for helping generate r1 traces for s1K with [Curator](https://github.com/bespokelabsai/curator/).
+
+# Use
+
+The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).
+
+---
+
 Model is trained with block_size 20000