metterian
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llama-pro-ko-8b

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-library_name: transformers
-license: apache-2.0
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 ---
+language:
+- en
+- ko
+pipeline_tag: text-generation
+inference: false
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+- llama-2-ko
+- llama-pro-ko
+---
+## LLaMA-Pro-Ko-8B Model Card
 ### Model Description
+LLaMA-Pro is an advanced iteration of the original LLaMA model, augmented with additional Transformer blocks. Unlike its predecessor, Llama-pro, which was specialized for programming and mathematics, Llama-Pro-Ko is tailored to the language domain, undergoing post-training for enhanced performance.
+## Development and Training
+The NLP & AI Lab at Korea University developed LLaMA-Pro-Ko, a model boasting 8 billion parameters. This model extends LLaMA2-7B by incorporating Korean tokens via vocabulary extension and was further refined by training on a Korean corpus of 10 billion tokens, exclusively without the inclusion of English data.
+### Language Specialization and Transfer
+While previous models like Llama-ko and Llama-2-ko experienced diminished English capabilities as they learned Korean, Llama-Pro's language transfer approach aims to bolster Korean language performance with minimal impact on its English proficiency.
+### Bilingual Performance Evaluation
+LLaMA-Pro-Ko's performance is evaluated on two fronts: its proficiency in English and its mastery of Korean, showcasing its capabilities as a bilingual model.
+### KO - KoBEST
+**5shot**
+|                                                              | # token |     copa      |   HellaSwag   | boolq         |   sentiNeg    |     AVG      |
+| ------------------------------------------------------------ | :-----: | :-----------: | :-----------: | ------------- | :-----------: | :----------: |
+| [beomi](https://huggingface.co/beomi/llama-2-ko-7b)/llama-2-ko-7b |   20B   |    0.7626     |    0.4668     | 0.4657        |    0.8295     |    63.11     |
+| [beomi](https://huggingface.co/beomi/llama-2-ko-7b)/llama-2-ko-7b |   40B   |  **0.7927**   |    0.4657     | **0.6977**    |    0.7611     |    67.93     |
+| [beomi](https://huggingface.co/beomi/open-llama-2-ko-7b)/open-llama-2-ko-7b |   15B   |    0.7737     |  **0.4831**   | <u>0.6824</u> |  **0.8991**   |  **70.96**   |
+| llama-pro-ko-8b                                              |   10B   | <u>0.7878</u> | <u>0.4748</u> | 0.6631        | <u>0.8752</u> | <u>70.02</u> |
+**10shot**
+|                                                              | # token |   copa   | HellaSwag |    boolq    |  sentiNeg   | mean         |
+| ------------------------------------------------------------ | :-----: | :------: | :-------: | :---------: | :---------: | ------------ |
+| [beomi](https://huggingface.co/beomi/llama-2-ko-7b)/llama-2-ko-7b |   20B   |   0.78   |   0.47    | <u>0.68</u> |    0.87     | 70.12        |
+| [beomi](https://huggingface.co/beomi/llama-2-ko-7b)/llama-2-ko-7b |   40B   | **0.80** |   0.47    |  **0.71**   |    0.73     | 67.81        |
+| [beomi](https://huggingface.co/beomi/open-llama-2-ko-7b)/open-llama-2-ko-7b |   15B   |   0.79   | **0.48**  |    0.67     | <u>0.94</u> | **71.82**    |
+| llama-pro-ko-8b                                              |   10B   | **0.80** | **0.48**  |    0.60     |  **0.97**   | <u>71.12</u> |
+### EN - Open LLM Benchmark
+|                                                              |   ARC    |  HellaSwag   |   MMLU    |  TruthfulQA  |  Winogrande  |     AVG      | diff  |
+| :----------------------------------------------------------- | :------: | :----------: | :-------: | :----------: | :----------: | :----------: | :---: |
+| [meta-llama/Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b) |  53.07   |  **78.59**   |   46.87   | <u>38.76</u> |  **74.03**   | <u>58.26</u> |   0   |
+| [TencentARC](https://huggingface.co/TencentARC/LLaMA-Pro-8B)/LLaMA-Pro-8B | **54.1** | <u>77.94</u> | **47.88** |  **39.04**   | <u>73.95</u> |  **58.58**   | 0.32  |
+| [beomi](https://huggingface.co/beomi/llama-2-ko-7b)/llama-2-ko-7b |  48.46   |    75.28     |   39.56   |    34.49     |    72.14     |    53.99     | -4.28 |
+| [beomi](https://huggingface.co/beomi/open-llama-2-ko-7b)/open-llama-2-ko-7b |  46.84   |    69.48     |   29.86   |    35.35     |    66.30     |    49.57     | -8.70 |
+| llama-pro-ko-8b                                              |          |              |           |              |              |              |       |