Update @ 2024.01.29 Released Yi-Ko(KoEN)-DUS-9B model 🎉
beomi/Yi-Ko-DUS-9B
Yi-Ko-DUS model serves as DUS-applied and advanced iterations of
beomi/Yi-Ko-6B
model,
benefiting from an expanded vocabulary and the inclusion of Korean/English corpus in its further pretraining.
Yi-Ko-DUS model operates with 9B billion parameters.
This repository focuses on the
9B
pretrained version,
which is tailored to fit the Hugging Face Transformers format,
trained after DUS method applied.
Model Details
Model Developers
Junbum Lee (Beomi), Taekyoon Choi (Taekyoon)
Variations
Yi-Ko-DUS has 9B model only.
Input
Models input text only.
Output
Models generate text only.
Model Architecture
Yi-Ko-DUS series models are an auto-regressive language model that uses an optimized transformer architecture based on Llama-2*.
*Yi model architecture is based on Llama2, so it can be loaded via
LlamaForCausalLM
class on HF.
*Since
Expanded Yi-Ko Series
prepends
_
at the beginning of the text(to ensure same tokenization for Korean sentences), it shows negilible difference for the first token on English tokenization.
Yi-Ko-DUS-9B huggingface.co is an AI model on huggingface.co that provides Yi-Ko-DUS-9B's model effect (), which can be used instantly with this beomi Yi-Ko-DUS-9B model. huggingface.co supports a free trial of the Yi-Ko-DUS-9B model, and also provides paid use of the Yi-Ko-DUS-9B. Support call Yi-Ko-DUS-9B model through api, including Node.js, Python, http.
Yi-Ko-DUS-9B huggingface.co is an online trial and call api platform, which integrates Yi-Ko-DUS-9B's modeling effects, including api services, and provides a free online trial of Yi-Ko-DUS-9B, you can try Yi-Ko-DUS-9B online for free by clicking the link below.
beomi Yi-Ko-DUS-9B online free url in huggingface.co:
Yi-Ko-DUS-9B is an open source model from GitHub that offers a free installation service, and any user can find Yi-Ko-DUS-9B on GitHub to install. At the same time, huggingface.co provides the effect of Yi-Ko-DUS-9B install, users can directly use Yi-Ko-DUS-9B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.