metadata
library_name: transformers
license: other
datasets:
- teknium/OpenHermes-2.5
- LDJnr/Capybara
- Intel/orca_dpo_pairs
- argilla/distilabel-capybara-dpo-7k-binarized
language:
- en
pipeline_tag: text-generation
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
- argilla/distilabel-capybara-dpo-7k-binarized 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:
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.
- Special thanks to the Qwen team for letting us access the models early for these amazing finetunes.