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

@@ -1,75 +1,89 @@
----
-base_model:
-- Qwen/Qwen2.5-72B
-tags:
-- roleplay
-- storywriting
-- qwen2.5
-- finetune
-- transformers
-- pytorch
----
-
-# Zeus Labs ~ Chronos-Platinum-72B
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/630417380907b9a115c6aa9f/G05mAhqcp4S_WBfE2vBLl.png)
-
-Qwen 2.5 72B base model, trained for two epochs on the Chronos Divergence dataset using ChatML. It works well for roleplaying and storywriting as well as general assistant tasks.
-
-## Instruct Template
-
-This model uses `ChatML` - below is an example. It is a preset in many frontends.
-
-```
-<|im_start|>system
-You are a helpful assistant<|im_end|>
-<|im_start|>user
-Hello there!<|im_end|>
-<|im_start|>assistant
-Hi! I'm an AI assistant, designed to help people like you with all sorts of tasks. Is there anything you need help with?<|im_end|>
-<|im_start|>user
-I was wondering how transformers work?<|im_end|>
-<|im_start|>assistant
-```
-
-## Quantizations
-Please note that we tested this model with a 5.0bpw EXL2 quant. Results are not expected to be the same when going below this quanitzation. Thanks to our model quanters!
-
-#### LlamaCPP (GGUF)
-[bartowski](https://huggingface.co/bartowski/Chronos-Platinum-72B-GGUF)  
-
-[mradermacher](https://huggingface.co/mradermacher/Chronos-Platinum-72B-i1-GGUF)
-
-#### Exllama2
-[bartowski](https://huggingface.co/bartowski/Chronos-Platinum-72B-exl2)
-
-## Sampling Settings
-Here are some settings that work well with this model:
-```
-Temp -> 0.7 - 1.2
-Min P -> 0.025 - 0.05 [temp in order, not last]
-Presence Penalty -> 1.0
-Repetition Penalty range -> 4000
-```
-Higher temp gives more uniqueness and less repetition. Please do not take these settings as the "best" - your system prompt matters significantly, and if you're roleplaying
-use the Basic system prompt in SillyTavern. You can also try other samplers like Top P.
-
-**Note that Presence Penalty works with Repetition Penalty Range.**
-
-## Credit
-Thank you to my team consisting of [@ToastyPigeon](https://huggingface.co/ToastyPigeon), [@Fizzarolli](https://huggingface.co/Fizzarolli), and myself [@elinas](https://huggingface.co/elinas).
-
-Additional thanks to [@AlpinDale](https://huggingface.co/AlpinDale) and the rest of the PygmalionAI team for graciously providing the compute to finetune this model!
-Thank you to [anthracite-org](https://huggingface.co/anthracite-org) as well for sponsoring this model.
-
-## Additional Details 
-
-We used a combination of provided logs and WizardLM evol both cleaned up and de-slopped.
-
-Thanks to Anthropic and OpenAI for the models used to generate synthetic and partially synthetic data to train this model.
-
-Thanks Elon Musk for being based enough to train AI that compares to the top models.
-
-If you have any questions or concerns, please post in the community tab.
-
+---
+base_model:
+- Qwen/Qwen2.5-72B
+tags:
+- roleplay
+- storywriting
+- qwen2.5
+- finetune
+- transformers
+- pytorch
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# Zeus Labs ~ Chronos-Platinum-72B
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/630417380907b9a115c6aa9f/G05mAhqcp4S_WBfE2vBLl.png)
+
+Qwen 2.5 72B base model, trained for two epochs on the Chronos Divergence dataset using ChatML. It works well for roleplaying and storywriting as well as general assistant tasks.
+
+## Instruct Template
+
+This model uses `ChatML` - below is an example. It is a preset in many frontends.
+
+```
+<|im_start|>system
+You are a helpful assistant<|im_end|>
+<|im_start|>user
+Hello there!<|im_end|>
+<|im_start|>assistant
+Hi! I'm an AI assistant, designed to help people like you with all sorts of tasks. Is there anything you need help with?<|im_end|>
+<|im_start|>user
+I was wondering how transformers work?<|im_end|>
+<|im_start|>assistant
+```
+
+## Quantizations
+Please note that we tested this model with a 5.0bpw EXL2 quant. Results are not expected to be the same when going below this quanitzation. Thanks to our model quanters!
+
+#### LlamaCPP (GGUF)
+[bartowski](https://huggingface.co/bartowski/Chronos-Platinum-72B-GGUF)  
+
+[mradermacher](https://huggingface.co/mradermacher/Chronos-Platinum-72B-i1-GGUF)
+
+#### Exllama2
+[bartowski](https://huggingface.co/bartowski/Chronos-Platinum-72B-exl2)
+
+## Sampling Settings
+Here are some settings that work well with this model:
+```
+Temp -> 0.7 - 1.2
+Min P -> 0.025 - 0.05 [temp in order, not last]
+Presence Penalty -> 1.0
+Repetition Penalty range -> 4000
+```
+Higher temp gives more uniqueness and less repetition. Please do not take these settings as the "best" - your system prompt matters significantly, and if you're roleplaying
+use the Basic system prompt in SillyTavern. You can also try other samplers like Top P.
+
+**Note that Presence Penalty works with Repetition Penalty Range.**
+
+## Credit
+Thank you to my team consisting of [@ToastyPigeon](https://huggingface.co/ToastyPigeon), [@Fizzarolli](https://huggingface.co/Fizzarolli), and myself [@elinas](https://huggingface.co/elinas).
+
+Additional thanks to [@AlpinDale](https://huggingface.co/AlpinDale) and the rest of the PygmalionAI team for graciously providing the compute to finetune this model!
+Thank you to [anthracite-org](https://huggingface.co/anthracite-org) as well for sponsoring this model.
+
+## Additional Details 
+
+We used a combination of provided logs and WizardLM evol both cleaned up and de-slopped.
+
+Thanks to Anthropic and OpenAI for the models used to generate synthetic and partially synthetic data to train this model.
+
+Thanks Elon Musk for being based enough to train AI that compares to the top models.
+
+If you have any questions or concerns, please post in the community tab.
+
 DISCLAIMER: Outputs generated by the model are not reflective of our views.