Improve language tag

README.md

@@ -1,37 +1,51 @@
----
-pipeline_tag: text-generation
-inference: true
-license: apache-2.0
-datasets:
-- simplescaling/s1K-1.1
-base_model:
-- Qwen/Qwen2.5-32B-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/hashimoto-group/o1/runs/m1ilia77/overview
-- **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).
-
-# Evaluation
-
-| Metric | s1-32B | s1.1-32B | o1-preview | o1 | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B |
-|---|---|---|---|---|---|---|
-| # examples | 1K | 1K | ? | ? | >800K | 800K |
-| AIME2024 | 56.7 | 56.7 | 40.0 | 74.4 | 79.8 | 72.6 |
-| AIME2025 I | 26.7 | 60.0 | 37.5 | ? | 65.0 | 46.1 |
-| MATH500 | 93.0 | 95.4 | 81.4 | 94.8 | 97.3 | 94.3 |
-| GPQA-Diamond | 59.6 | 63.6 | 75.2 | 77.3 | 71.5 | 62.1 |
-
+---
+pipeline_tag: text-generation
+inference: true
+license: apache-2.0
+datasets:
+- simplescaling/s1K-1.1
+base_model:
+- Qwen/Qwen2.5-32B-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/hashimoto-group/o1/runs/m1ilia77/overview
+- **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).
+
+# Evaluation
+
+| Metric | s1-32B | s1.1-32B | o1-preview | o1 | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B |
+|---|---|---|---|---|---|---|
+| # examples | 1K | 1K | ? | ? | >800K | 800K |
+| AIME2024 | 56.7 | 56.7 | 40.0 | 74.4 | 79.8 | 72.6 |
+| AIME2025 I | 26.7 | 60.0 | 37.5 | ? | 65.0 | 46.1 |
+| MATH500 | 93.0 | 95.4 | 81.4 | 94.8 | 97.3 | 94.3 |
+| GPQA-Diamond | 59.6 | 63.6 | 75.2 | 77.3 | 71.5 | 62.1 |
+
 Note that s1-32B and s1.1-32B use budget forcing in this table; specifically ignoring end-of-thinking and appending "Wait" up to four times.