beomi / Yi-Ko-6B

huggingface.co
Total runs: 504
24-hour runs: 17
7-day runs: 58
30-day runs: 228
Model's Last Updated: July 08 2024
text-generation

Introduction of Yi-Ko-6B

Model Details of Yi-Ko-6B

Update @ 2024.01.29 New Model beomi/Yi-Ko-DUS-9B Released! 🎉

Update @ 2023.12.03 Yi-Ko(KoEN)-6B Achieved #1🥇 Pretrained Models at Open Korean LLM Leaderboard ! 🎉

Update @ 2023.12.01 Alpha Release of Yi-Ko(KoEN)-6B model 🎉

beomi/Yi-Ko-6B

Yi-Ko series models serve as advanced iterations of 01-ai/Yi models, benefiting from an expanded vocabulary and the inclusion of Korean/English corpus in its further pretraining. Just like its predecessor, Yi-Ko series models operate within the broad range of generative text models that stretch from 6 billion to 34 billion parameters. This repository focuses on the 6B pretrained version, which is tailored to fit the Hugging Face Transformers format. For access to the other models, feel free to consult the index provided below.

Model Details

Model Developers Junbum Lee (Beomi)

Variations Yi-Ko series will come in a range of parameter sizes — 6B and 34B variations.

Input Models input text only.

Output Models generate text only.

Model Architecture

Yi-Ko 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.

Model Name Training Data Params Context Length GQA Trained Tokens LR Batch Size(per step)
Yi-Ko-6B A mix of Korean + English online data 6B 4k O >60B 5e -5 2048

Vocab Expansion

Model Name Vocabulary Size Description
Original Yi-Series 64000 Sentencepiece BPE
Expanded Yi-Ko Series 78464 Sentencepiece BPE. Added Korean vocab and merges

Tokenizing "안녕하세요, 오늘은 날씨가 좋네요.ㅎㅎ"

Model # of tokens Tokens
Original Yi-Series 47 ['<0xEC>', '<0x95>', '<0x88>', '<0xEB>', '<0x85>', '<0x95>', '하', '<0xEC>', '<0x84>', '<0xB8>', '<0xEC>', '<0x9A>', '<0x94>', ',', '▁', '<0xEC>', '<0x98>', '<0xA4>', '<0xEB>', '<0x8A>', '<0x98>', '은', '▁', '<0xEB>', '<0x82>', '<0xA0>', '<0xEC>', '<0x94>', '<0xA8>', '가', '▁', '<0xEC>', '<0xA2>', '<0x8B>', '<0xEB>', '<0x84>', '<0xA4>', '<0xEC>', '<0x9A>', '<0x94>', '.', '<0xE3>', '<0x85>', '<0x8E>', '<0xE3>', '<0x85>', '<0x8E>']
Expanded Yi-Ko Series 10 ['▁안녕', '하세요', ',', '▁오늘은', '▁날', '씨가', '▁좋네요', '.', 'ㅎ', 'ㅎ']
*Equal Korean vocab with Llama-2-Ko Series

Tokenizing "Llama 2: Open Foundation and Fine-Tuned Chat Models"

Model # of tokens Tokens
Original Yi-Series 21 ['The', '▁Y', 'i', '▁series', '▁models', '▁are', '▁large', '▁language', '▁models', '▁trained', '▁from', '▁scratch', '▁by', '▁developers', '▁at', '▁', '0', '1', '.', 'AI', '.']
Expanded Yi-Ko Series 21 ['▁The', '▁Y', 'i', '▁series', '▁models', '▁are', '▁large', '▁language', '▁models', '▁trained', '▁from', '▁scratch', '▁by', '▁developers', '▁at', '▁', '0', '1', '.', 'AI', '.']
*Equal Korean vocab with Llama-2-Ko Series *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.

Model Benchmark

LM Eval Harness - Korean (polyglot branch)
beomi/Yi-Ko-6B 0 5 10 50
kobest_boolq (macro_f1) 0.705806 0.79905 0.814299 0.81704
kobest_copa (macro_f1) 0.775604 0.808899 0.816866 0.842943
kobest_hellaswag (macro_f1) 0.500876 0.498673 0.493507 0.492183
kobest_sentineg (macro_f1) 0.404371 0.967254 0.982368 0.974811
kohatespeech (macro_f1) 0.353428 0.351804 0.402423 0.503764
kohatespeech_apeach (macro_f1) 0.337667 0.498679 0.471962 0.608401
kohatespeech_gen_bias (macro_f1) 0.124535 0.484745 0.474475 0.461714
korunsmile (f1) 0.382804 0.349344 0.391383 0.432875
nsmc (acc) 0.55064 0.8801 0.89866 0.9071
pawsx_ko (acc) 0.5145 0.54 0.538 0.5165
LICENSE

Apache 2.0 (for research)

For commercial purpose, mailto: [email protected] to acquire Yi-Ko sereis commercial license.

Citation

Please use this bibtex below:

@misc {lee_junbum_2024,
    author       = { {Lee Junbum} },
    title        = { Yi-Ko-6B (Revision 205083a) },
    year         = 2024,
    url          = { https://huggingface.co/beomi/Yi-Ko-6B },
    doi          = { 10.57967/hf/1708 },
    publisher    = { Hugging Face }
}
Acknowledgement

The training is supported by TPU Research Cloud program.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 50.27
AI2 Reasoning Challenge (25-Shot) 48.89
HellaSwag (10-Shot) 74.48
MMLU (5-Shot) 55.72
TruthfulQA (0-shot) 37.09
Winogrande (5-shot) 72.93
GSM8k (5-shot) 12.51

Runs of beomi Yi-Ko-6B on huggingface.co

504
Total runs
17
24-hour runs
15
3-day runs
58
7-day runs
228
30-day runs

More Information About Yi-Ko-6B huggingface.co Model

More Yi-Ko-6B license Visit here:

https://choosealicense.com/licenses/apache-2.0

Yi-Ko-6B huggingface.co

Yi-Ko-6B huggingface.co is an AI model on huggingface.co that provides Yi-Ko-6B's model effect (), which can be used instantly with this beomi Yi-Ko-6B model. huggingface.co supports a free trial of the Yi-Ko-6B model, and also provides paid use of the Yi-Ko-6B. Support call Yi-Ko-6B model through api, including Node.js, Python, http.

Yi-Ko-6B huggingface.co Url

https://huggingface.co/beomi/Yi-Ko-6B

beomi Yi-Ko-6B online free

Yi-Ko-6B huggingface.co is an online trial and call api platform, which integrates Yi-Ko-6B's modeling effects, including api services, and provides a free online trial of Yi-Ko-6B, you can try Yi-Ko-6B online for free by clicking the link below.

beomi Yi-Ko-6B online free url in huggingface.co:

https://huggingface.co/beomi/Yi-Ko-6B

Yi-Ko-6B install

Yi-Ko-6B is an open source model from GitHub that offers a free installation service, and any user can find Yi-Ko-6B on GitHub to install. At the same time, huggingface.co provides the effect of Yi-Ko-6B install, users can directly use Yi-Ko-6B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Yi-Ko-6B install url in huggingface.co:

https://huggingface.co/beomi/Yi-Ko-6B

Url of Yi-Ko-6B

Yi-Ko-6B huggingface.co Url

Provider of Yi-Ko-6B huggingface.co

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