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README.md

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+---
+library_name: transformers
+license: other
+datasets:
+- teknium/OpenHermes-2.5
+- LDJnr/Capybara
+- Intel/orca_dpo_pairs
+- argilla/distilabel-intel-orca-dpo-pairs
+language:
+- en
+---
+
+# Quyen
+<img src="quyen.webp" width="512" height="512" alt="Quyen">
+
+# Model Description
+Quyen is our first flagship LLM series based on the Qwen1.5 family. We introduced 6 different versions:
+
+- **Quyen-SE (0.5B)**
+- **Quyen-Mini (1.8B)**
+- **Quyen (4B)**
+- **Quyen-Plus (7B)**
+- **Quyen-Pro (14B)**
+- **Quyen-Pro-Max (72B)**
+
+All models were trained with SFT and DPO using the following dataset:
+
+- *OpenHermes-2.5* by **Teknium**
+- *Capyabara* by **LDJ**
+- *distilabel-intel-orca-dpo-pairs* by **argilla**
+- *orca_dpo_pairs* by **Intel**
+- and Private Data by **Ontocord** & **BEE-spoke-data**
+
+# Prompt Template
+- All Quyen models use ChatML as the default template:
+
+```
+<|im_start|>system
+You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|>
+<|im_start|>user
+Hello world.<|im_end|>
+<|im_start|>assistant
+```
+
+- You can also use `apply_chat_template`:
+
+```python
+messages = [
+    {"role": "system", "content": "You are a sentient, superintelligent artificial general intelligence, here to teach and assist me."},
+    {"role": "user", "content": "Hello world."}
+]
+gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
+model.generate(**gen_input)
+```
+
+# Benchmarks:
+
+- Coming Soon! We will update the benchmarks later
+
+# Acknowledgement
+- We're incredibly grateful to **Tensoic** and **Ontocord** for their generous support with compute and data preparation.