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

@@ -1,40 +1,52 @@
----
-license: apache-2.0
-license_link: https://huggingface.co/Gensyn/Qwen2.5-0.5B-Instruct/blob/main/LICENSE
-language:
-- en
-pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-0.5B
-tags:
-- chat
-- rl-swarm
-- gensyn
-library_name: transformers
----
-
-# Qwen2.5-0.5B-Instruct
-
-## Introduction
-This model is intended for use in the [Gensyn RL Swarm](https://www.gensyn.ai/articles/rl-swarm), to finetune locally using peer-to-peer reinforcement learning post-training.
-
-Once finetuned, the model can be used as normal in any workflow, for details on how to do this please refer to the [original model documentation](https://qwen.readthedocs.io/en/latest/).
-
-For more details on the original model, please refer to the original repository [here](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
-
-This repo contains an **unmodified version** of the instruction-tuned 0.5B Qwen2.5 model, which has the following features:
-- Type: Causal Language Models
-- Training Stage: Pretraining & Post-training
-- Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
-- Number of Parameters: 0.49B
-- Number of Paramaters (Non-Embedding): 0.36B
-- Number of Layers: 24
-- Number of Attention Heads (GQA): 14 for Q and 2 for KV
-- Context Length: Full 32,768 tokens and generation 8192 tokens
-
-## Requirements
-
-This model is intended for use in the [Gensyn RL Swarm](https://www.gensyn.ai/articles/rl-swarm) system, for details on model requirements when using outside of a swarm, refer to the original Qwen repo [here](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
-
-## Quickstart
-
-To deploy this model into a swarm and/or participate in the Gensyn Testnet, follow the instructions in the [RL Swarm repository](https://github.com/gensyn-ai/rl-swarm), read about the [testnet](https://www.gensyn.ai/testnet), read the [RL Swarm overview](https://www.gensyn.ai/articles/rl-swarm), and/or read the [RL Swarm technical report](https://github.com/gensyn-ai/paper-rl-swarm/blob/main/latest.pdf).
+---
+license: apache-2.0
+license_link: https://huggingface.co/Gensyn/Qwen2.5-0.5B-Instruct/blob/main/LICENSE
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-0.5B
+tags:
+- chat
+- rl-swarm
+- gensyn
+library_name: transformers
+---
+
+# Qwen2.5-0.5B-Instruct
+
+## Introduction
+This model is intended for use in the [Gensyn RL Swarm](https://www.gensyn.ai/articles/rl-swarm), to finetune locally using peer-to-peer reinforcement learning post-training.
+
+Once finetuned, the model can be used as normal in any workflow, for details on how to do this please refer to the [original model documentation](https://qwen.readthedocs.io/en/latest/).
+
+For more details on the original model, please refer to the original repository [here](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
+
+This repo contains an **unmodified version** of the instruction-tuned 0.5B Qwen2.5 model, which has the following features:
+- Type: Causal Language Models
+- Training Stage: Pretraining & Post-training
+- Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
+- Number of Parameters: 0.49B
+- Number of Paramaters (Non-Embedding): 0.36B
+- Number of Layers: 24
+- Number of Attention Heads (GQA): 14 for Q and 2 for KV
+- Context Length: Full 32,768 tokens and generation 8192 tokens
+
+## Requirements
+
+This model is intended for use in the [Gensyn RL Swarm](https://www.gensyn.ai/articles/rl-swarm) system, for details on model requirements when using outside of a swarm, refer to the original Qwen repo [here](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
+
+## Quickstart
+
+To deploy this model into a swarm and/or participate in the Gensyn Testnet, follow the instructions in the [RL Swarm repository](https://github.com/gensyn-ai/rl-swarm), read about the [testnet](https://www.gensyn.ai/testnet), read the [RL Swarm overview](https://www.gensyn.ai/articles/rl-swarm), and/or read the [RL Swarm technical report](https://github.com/gensyn-ai/paper-rl-swarm/blob/main/latest.pdf).