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

@@ -1,38 +1,50 @@
----
-base_model: Qwen/Qwen2.5-14B-Instruct
-tags:
-- fluently-lm
-- fluently-sets
-- demo
-- reasoning
-- text-generation-inference
-- transformers
-- unsloth
-- qwen2
-- trl
-- sft
-license: apache-2.0
-language:
-- en
-datasets:
-- fluently-sets/reasoning-1-1k
-pipeline_tag: text-generation
----
-
-# Reasoning-1 1K Demo (Finetune of Qwen2.5-14B-IT on Reasoning-1-1k dataset)
-
-***Q4_K_M GGUF-quant available [here](https://huggingface.co/fluently-sets/reasoning-1-1k-demo-Q4_K_M-GGUF)***
-
-This is SFT-finetune Qwen2.5-14B-IT on Reasoning-1-1K dataset. This is far from a perfect model, its main purpose is to show an example of using the dataset.
-
-- **Base model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
-- **Model type**: [Qwen2ForCausalLM](https://huggingface.co/models?other=qwen2)
-- **Number of parameters**: 14.8B
-- **Precision**: FP16
-- **Training method**: SFT
-- **Training dataset**: [fluently-sets/reasoning-1-1k](https://huggingface.co/datasets/fluently-sets/reasoning-1-1k)
-- **Languages**: English (mostly)
-
-*Trained by Fluently Team ([@ehristoforu](https://huggingface.co/ehristoforu)) with [Unsloth AI](https://github.com/unslothai/unsloth) with love🥰*
-
+---
+base_model: Qwen/Qwen2.5-14B-Instruct
+tags:
+- fluently-lm
+- fluently-sets
+- demo
+- reasoning
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2
+- trl
+- sft
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+datasets:
+- fluently-sets/reasoning-1-1k
+pipeline_tag: text-generation
+---
+
+# Reasoning-1 1K Demo (Finetune of Qwen2.5-14B-IT on Reasoning-1-1k dataset)
+
+***Q4_K_M GGUF-quant available [here](https://huggingface.co/fluently-sets/reasoning-1-1k-demo-Q4_K_M-GGUF)***
+
+This is SFT-finetune Qwen2.5-14B-IT on Reasoning-1-1K dataset. This is far from a perfect model, its main purpose is to show an example of using the dataset.
+
+- **Base model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
+- **Model type**: [Qwen2ForCausalLM](https://huggingface.co/models?other=qwen2)
+- **Number of parameters**: 14.8B
+- **Precision**: FP16
+- **Training method**: SFT
+- **Training dataset**: [fluently-sets/reasoning-1-1k](https://huggingface.co/datasets/fluently-sets/reasoning-1-1k)
+- **Languages**: English (mostly)
+
+*Trained by Fluently Team ([@ehristoforu](https://huggingface.co/ehristoforu)) with [Unsloth AI](https://github.com/unslothai/unsloth) with love🥰*
+
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)