Improve language tag

README.md

@@ -1,35 +1,49 @@
----
-license: other
-library_name: transformers
-tags:
-- generated_from_trainer
-base_model: Qwen/Qwen2.5-3B
-license_name: qwen-research
-license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
-model-index:
-- name: outputs/gelato-3b
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-Prompt Format: **ChatML**
-
-This is an experimental which was heavily optimized for reasoning tasks and not meant for production-use.
-  
-GGUFs: https://huggingface.co/mradermacher/raspberry-3B-GGUF
-
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_arcee-ai__raspberry-3B)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |15.40|
-|IFEval (0-Shot)    |31.54|
-|BBH (3-Shot)       |19.53|
-|MATH Lvl 5 (4-Shot)| 7.63|
-|GPQA (0-shot)      | 3.69|
-|MuSR (0-shot)      | 9.41|
-|MMLU-PRO (5-shot)  |20.60|
-
+---
+license: other
+library_name: transformers
+tags:
+- generated_from_trainer
+base_model: Qwen/Qwen2.5-3B
+license_name: qwen-research
+license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: outputs/gelato-3b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+Prompt Format: **ChatML**
+
+This is an experimental which was heavily optimized for reasoning tasks and not meant for production-use.
+  
+GGUFs: https://huggingface.co/mradermacher/raspberry-3B-GGUF
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_arcee-ai__raspberry-3B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |15.40|
+|IFEval (0-Shot)    |31.54|
+|BBH (3-Shot)       |19.53|
+|MATH Lvl 5 (4-Shot)| 7.63|
+|GPQA (0-shot)      | 3.69|
+|MuSR (0-shot)      | 9.41|
+|MMLU-PRO (5-shot)  |20.60|
+