LoneStriker/Quyen-v0.1-GPTQ

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.