vilm_-_Quyen-v0.1-4bits – AI Model by RichardErkhov | AlphaNeural AI

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vilm_-_Quyen-v0.1-4bits

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Quyen-v0.1 - bnb 4bits

Model creator: https://huggingface.co/vilm/
Original model: https://huggingface.co/vilm/Quyen-v0.1/

Original model description:

language:

en license: other library_name: transformers datasets:
teknium/OpenHermes-2.5
LDJnr/Capybara
Intel/orca_dpo_pairs
argilla/distilabel-capybara-dpo-7k-binarized pipeline_tag: text-generation

Quyen

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:

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.
Special thanks to the Qwen team for letting us access the models early for these amazing finetunes.