Improve language tag

README.md

@@ -1,90 +1,102 @@
----
-license: apache-2.0
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- role-play
-- fine-tuned
-- qwen2.5
-base_model:
-- Qwen/Qwen2.5-14B-Instruct
-library_name: transformers
----
-
-![Oxy 1 Small](https://cdn-uploads.huggingface.co/production/uploads/64fb80c8bb362cbf2ff96c7e/tTIVIblPUbTYnlvHQQjXB.png)
-
-## Introduction
-
-**Oxy 1 Small** is a fine-tuned version of the [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) language model, specialized for **role-play** scenarios. Despite its small size, it delivers impressive performance in generating engaging dialogues and interactive storytelling.
-
-Developed by **Oxygen (oxyapi)**, with contributions from **TornadoSoftwares**, Oxy 1 Small aims to provide an accessible and efficient language model for creative and immersive role-play experiences.
-
-## Model Details
-
-- **Model Name**: Oxy 1 Small
-- **Model ID**: [oxyapi/oxy-1-small](https://huggingface.co/oxyapi/oxy-1-small)
-- **Base Model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B)
-- **Model Type**: Chat Completions
-- **Prompt Format**: ChatML
-- **License**: Apache-2.0
-- **Language**: English
-- **Tokenizer**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
-- **Max Input Tokens**: 32,768
-- **Max Output Tokens**: 8,192
-
-### Features
-
-- **Fine-tuned for Role-Play**: Specially trained to generate dynamic and contextually rich role-play dialogues.
-- **Efficient**: Compact model size allows for faster inference and reduced computational resources.
-- **Parameter Support**:
-  - `temperature`
-  - `top_p`
-  - `top_k`
-  - `frequency_penalty`
-  - `presence_penalty`
-  - `max_tokens`
-
-### Metadata
-
-- **Owned by**: Oxygen (oxyapi)
-- **Contributors**: TornadoSoftwares
-- **Description**: A Qwen/Qwen2.5-14B-Instruct fine-tune for role-play trained on custom datasets
-
-## Usage
-
-To utilize Oxy 1 Small for text generation in role-play scenarios, you can load the model using the Hugging Face Transformers library:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained("oxyapi/oxy-1-small")
-model = AutoModelForCausalLM.from_pretrained("oxyapi/oxy-1-small")
-
-prompt = "You are a wise old wizard in a mystical land. A traveler approaches you seeking advice."
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model.generate(**inputs, max_length=500)
-response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(response)
-```
-
-## Performance
-
-Performance benchmarks for Oxy 1 Small are not available at this time. Future updates may include detailed evaluations on relevant datasets.
-
-## License
-
-This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
-
-## Citation
-
-If you find Oxy 1 Small useful in your research or applications, please cite it as:
-
-```
-@misc{oxy1small2024,
-  title={Oxy 1 Small: A Fine-Tuned Qwen2.5-14B-Instruct Model for Role-Play},
-  author={Oxygen (oxyapi)},
-  year={2024},
-  howpublished={\url{https://huggingface.co/oxyapi/oxy-1-small}},
-}
+---
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+tags:
+- role-play
+- fine-tuned
+- qwen2.5
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+library_name: transformers
+---
+
+![Oxy 1 Small](https://cdn-uploads.huggingface.co/production/uploads/64fb80c8bb362cbf2ff96c7e/tTIVIblPUbTYnlvHQQjXB.png)
+
+## Introduction
+
+**Oxy 1 Small** is a fine-tuned version of the [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) language model, specialized for **role-play** scenarios. Despite its small size, it delivers impressive performance in generating engaging dialogues and interactive storytelling.
+
+Developed by **Oxygen (oxyapi)**, with contributions from **TornadoSoftwares**, Oxy 1 Small aims to provide an accessible and efficient language model for creative and immersive role-play experiences.
+
+## Model Details
+
+- **Model Name**: Oxy 1 Small
+- **Model ID**: [oxyapi/oxy-1-small](https://huggingface.co/oxyapi/oxy-1-small)
+- **Base Model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B)
+- **Model Type**: Chat Completions
+- **Prompt Format**: ChatML
+- **License**: Apache-2.0
+- **Language**: English
+- **Tokenizer**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
+- **Max Input Tokens**: 32,768
+- **Max Output Tokens**: 8,192
+
+### Features
+
+- **Fine-tuned for Role-Play**: Specially trained to generate dynamic and contextually rich role-play dialogues.
+- **Efficient**: Compact model size allows for faster inference and reduced computational resources.
+- **Parameter Support**:
+  - `temperature`
+  - `top_p`
+  - `top_k`
+  - `frequency_penalty`
+  - `presence_penalty`
+  - `max_tokens`
+
+### Metadata
+
+- **Owned by**: Oxygen (oxyapi)
+- **Contributors**: TornadoSoftwares
+- **Description**: A Qwen/Qwen2.5-14B-Instruct fine-tune for role-play trained on custom datasets
+
+## Usage
+
+To utilize Oxy 1 Small for text generation in role-play scenarios, you can load the model using the Hugging Face Transformers library:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("oxyapi/oxy-1-small")
+model = AutoModelForCausalLM.from_pretrained("oxyapi/oxy-1-small")
+
+prompt = "You are a wise old wizard in a mystical land. A traveler approaches you seeking advice."
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=500)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## Performance
+
+Performance benchmarks for Oxy 1 Small are not available at this time. Future updates may include detailed evaluations on relevant datasets.
+
+## License
+
+This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+
+## Citation
+
+If you find Oxy 1 Small useful in your research or applications, please cite it as:
+
+```
+@misc{oxy1small2024,
+  title={Oxy 1 Small: A Fine-Tuned Qwen2.5-14B-Instruct Model for Role-Play},
+  author={Oxygen (oxyapi)},
+  year={2024},
+  howpublished={\url{https://huggingface.co/oxyapi/oxy-1-small}},
+}
 ```