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  library_name: transformers
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- tags: []
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  ---
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  # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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-
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- ### Model Description
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-
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a ๐Ÿค— transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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-
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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-
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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-
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- ### Downstream Use [optional]
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-
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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-
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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-
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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-
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
 
 
 
 
 
 
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- ### Testing Data, Factors & Metrics
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  #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- [More Information Needed]
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- ### Results
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- [More Information Needed]
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
 
 
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- [More Information Needed]
 
 
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- ### Compute Infrastructure
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- [More Information Needed]
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- #### Hardware
 
 
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- [More Information Needed]
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- #### Software
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- [More Information Needed]
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
 
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- [More Information Needed]
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- **APA:**
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- [More Information Needed]
 
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
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- ## Model Card Authors [optional]
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- [More Information Needed]
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- ## Model Card Contact
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- [More Information Needed]
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  ---
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  library_name: transformers
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+ license: cc-by-nc-sa-4.0
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  ---
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  # Model Card for Model ID
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+ ๊ธฐ์กด์˜ DopeorNope/Ko-Mixtral-v1.3-MoE-7Bx2 ๋ชจ๋ธ์—์„œ ํ–ฅ์ƒ๋œ 1.4๋ฒ„์ „์ž…๋‹ˆ๋‹ค.
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+ ์ถ”๊ฐ€๋œ ์‚ฌํ•ญ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.
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+ 1. ํ›ˆ๋ จ์— ํ™œ์šฉ๋œ ์ฝ”ํผ์Šค๋ฅผ ๋งค๋‰ด์–ผํ•˜๊ฒŒ ๊ฒ€ํ† ํ•˜๊ณ  ์ด์ƒํ•œ ์ฝ”ํผ์Šค๋ฅผ ์ˆ˜์ •ํ•˜๊ณ  ์ •์ œํ•˜์˜€์Šต๋‹ˆ๋‹ค.
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+ 2. Near dudup ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ ์šฉํ•˜์—ฌ ์ค‘๋ณต๋˜๋Š” ์ฝ”ํผ์Šค๋ฅผ ์ œ๊ฑฐํ•˜์˜€์Šต๋‹ˆ๋‹ค.
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+ 3. ๊ธฐ์กด์˜ 3๊ฐ€์ง€ task์—์„œ ํ•œ๊ฐ€์ง€ task๋ฅผ ์ถ”๊ฐ€ํ•˜์˜€์Šต๋‹ˆ๋‹ค.
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+ ## Model Details
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ### Model Description
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+ - **Developed by:** DopeorNope(Seungyoo Lee), kyujinpy(Kyujin Han)
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+ - **Model type:** Mixtral
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+ - **Language:** English based model but finetuned with Korean corpus
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+ - **License:** cc-by-nc-sa-4.0
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+ - **Finetuned from model:** DopeorNope/Ko-Mixtral-v1.3-MoE-7Bx2
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+ - **funded by:** the Ministry of Science and ICT(MSIT, Korea) & Gwangju Metropolitan City
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+ ## Training
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  #### Testing Data
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+ AI-HUB์—์„œ ์ œ๊ณต๋œ ์ฝ”ํผ์Šค๋ฅผ ๊ฐ€์ง€๊ณ  ๋‹ค์Œ๊ณผ ๊ฐ™์€ 4๊ฐ€์ง€ task๋ฅผ text mining์œผ๋กœ ๋งŒ๋“ค์–ด ์ ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ - **1.Mask prediction Task**
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+ ```python
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+ #Mask prediction
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+ #๋ฌธ์žฅ์—์„œ ํ•œ๊ตญ์–ด ๋‹จ์–ด๋ฅผ ๋งˆ์Šคํ‚น ํ•œ ์ดํ›„, ์ด ๋‹จ์–ด๋ฅผ ์˜ˆ์ธกํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” Task์ž…๋‹ˆ๋‹ค.
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+
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+ Text='์ง€๋Šฅ(ๆ™บ่ƒฝ) ๋˜๋Š” ์ธํ…”๋ฆฌ์ „์Šค(intelligence)๏ฟฝ๏ฟฝ ์ธ๊ฐ„์˜ <MASK> ๋Šฅ๋ ฅ์„ ๋งํ•œ๋‹ค.'
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+ Response='์ง€์ '
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+ Complete_text='์ง€๋Šฅ(ๆ™บ่ƒฝ) ๋˜๋Š” ์ธํ…”๋ฆฌ์ „์Šค(intelligence)๋Š” ์ธ๊ฐ„์˜ ์ง€์  ๋Šฅ๋ ฅ์„ ๋งํ•œ๋‹ค.'
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+ ```
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+ - **2.Text-allign Task**
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+ ```python
 
 
 
 
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+ #Text-allign Task
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+ #๋ฌธ๋‹จ์—์„œ ๊ฐ ๋ฌธ์žฅ๋“ค์„ ์ถ”์ถœํ•˜๊ณ  ์ถ”์ถœํ•œ ๋ฌธ์žฅ๋“ค์„ ๋ฌด์ž‘์œ„๋กœ ์„ž์€ ํ›„ ์„ž์€ ๋ฌธ์žฅ๋“ค์„ ๋ฌธ๋งฅ์ƒ ์ ์ ˆํ•˜๊ฒŒ ๋ฐฐ์—ดํ•˜๋Š” ํƒœ์ŠคํŠธ ์ž…๋‹ˆ๋‹ค.
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+ Text_list=['๋ณต์ˆ˜๋ช…๋ น-๋ณต์ˆ˜์ž๋ฃŒ(MIMD,Multiple Instruction, Multiple Data)์€ ์ „์‚ฐ์—์„œ ๋ณ‘๋ ฌํ™”์˜ ํ•œ ๊ธฐ๋ฒ•์ด๋‹ค.',
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+ '๋ถ„์‚ฐ ๋ฉ”๋ชจ๋ฆฌ์˜ ์˜ˆ๋Š” MPP(massively parallel processors)์™€ COW (Clusters of Workstations)์ด๋‹ค.',
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+ 'MIMD๊ธฐ๊ณ„๋Š” ๊ณต์œ  ๋ฉ”๋ชจ๋ฆฌ์ด๊ฑฐ๋‚˜ ๋ถ„์‚ฐ ๋ฉ”๋ชจ๋ฆฌ์ด๋ฉฐ ์ด๋Ÿฌํ•œ ๋ถ„๋ฅ˜๋Š” MIMD๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ์ด์šฉํ•˜๋Š๋ƒ์— ๋”ฐ๋ผ ๋‚˜๋‰œ๋‹ค.']
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+ Response='๋ณต์ˆ˜๋ช…๋ น-๋ณต์ˆ˜์ž๋ฃŒ(MIMD,Multiple Instruction, Multiple Data)์€ ์ „์‚ฐ์—์„œ ๋ณ‘๋ ฌํ™”์˜ ํ•œ ๊ธฐ๋ฒ•์ด๋‹ค.
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+ MIMD๊ธฐ๊ณ„๋Š” ๊ณต์œ  ๋ฉ”๋ชจ๋ฆฌ์ด๊ฑฐ๋‚˜ ๋ถ„์‚ฐ ๋ฉ”๋ชจ๋ฆฌ์ด๋ฉฐ ์ด๋Ÿฌํ•œ ๋ถ„๋ฅ˜๋Š” MIMD๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ์ด์šฉํ•˜๋Š๋ƒ์— ๋”ฐ๋ผ ๋‚˜๋‰œ๋‹ค.
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+ ๋ถ„์‚ฐ ๋ฉ”๋ชจ๋ฆฌ์˜ ์˜ˆ๋Š” MPP(massively parallel processors)์™€ COW (Clusters of Workstations)์ด๋‹ค.'
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+ ```
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+ - **3.Text completion Task**
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+ ```python
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+ #Text Completion
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+ # ๋ฌธ๋‹จ์—์„œ ๋งˆ์ง€๋ง‰ ๋ฌธ์žฅ์„ ์ถ”์ถœํ•˜๊ณ , ์ถ”์ถœ๋œ ๋ฌธ์žฅ์˜ ์ด์ „์˜ ๋ฌธ๋‹จ๊นŒ์ง€๋ฅผ input์œผ๋กœ ํ•˜์—ฌ ๋งˆ์ง€๋ง‰ ๋ฌธ์žฅ์„ ์˜ˆ์ธกํ•˜๊ฒŒ ํ•˜๋Š” ๊ณผ์ œ์ž…๋‹ˆ๋‹ค.
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+ Text= '๊ทธ๋ฆฐ๋ธŒ๋ผ์šฐ์ €(GreenBrowser)๋Š” ์ธํ„ฐ๋„ท ์ต์Šคํ”Œ๋กœ๋Ÿฌ์—์„œ ์‚ฌ์šฉํ•˜๋Š” ํŠธ๋ผ์ด๋˜ํŠธ ๋ ˆ์ด์•„์›ƒ ์—”์ง„์„ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜๋ฉฐ ์ค‘๊ตญ์— ๊ธฐ๋ฐ˜์„ ๋‘” ์†Œํ”„ํŠธ์›จ์–ด ํšŒ์‚ฌ์ธ ๋ชจ์–ดํ€ต(morequick)์—์„œ ๋งŒ๋“  ๋ฌด๋ฃŒ ์›น ๋ธŒ๋ผ์šฐ์ €๋‹ค. ๊ฐ„์ฒด์ž ์ค‘๊ตญ์–ด๊ฐ€ ์›น ๋ธŒ๋ผ์šฐ์ €์— ๋‚ด์žฅ๋˜์–ด ์žˆ๋‹ค.
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+ ๋งฅ์Šคํ†ค ์›น ๋ธŒ๋ผ์šฐ์ €์™€ ๋น„์Šทํ•˜์—ฌ MyIE์™€ ๋ฐ€์ ‘ํ•˜๊ฒŒ ๊ด€๋ จ๋˜์–ด ์žˆ๋‹ค. ๋งฅ์Šคํ†ค์šฉ์˜ ์ผ๋ถ€ ํ”Œ๋Ÿฌ๊ทธ์ธ์ด ๊ทธ๋ฆฐ๋ธŒ๋ผ์šฐ์ €์—์„œ๋„ ์ž‘๋™ํ•  ๊ฒƒ์ด๋‹ค.'
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+ Response= '์ž๋™ ์Šคํฌ๋กค, ์ž๋™ ๋ฆฌํ”„๋ ˆ์‹œ, ์ž๋™ ์ €์žฅ, ์ž๋™ ํผ ์ฑ„์šฐ๊ธฐ์™€ ๊ฐ™์€ ๋งŽ์€ ์ž๋™ํ™” ๊ธฐ๋Šฅ์ด ์žˆ๋‹ค.'
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+ ```
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+ - **4. Sentence Genration**
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+ ```python
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+ #Text Completion
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+ # ๋ฌธ์žฅ์—์„œ ๋ชจ๋“  ๋‹จ์–ด๋“ค์„ ์ถ”์ถœํ•˜๊ณ  ๋ฌด์ž‘์œ„๋กœ ์„ž์€ ํ›„ ์ค‘๋ณต๋œ ๋‹จ์–ด๋ฅผ ์ œ๊ฑฐํ•˜๊ณ , ์ œ์‹œ๋œ ๋‹จ์–ด ๋ฆฌ์ŠคํŠธ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์™„๋ฒฝํ•œ ๋ฌธ์žฅ์„ ์ƒ์„ฑํ•ด๋‚ด๋Š” task์ž…๋‹ˆ๋‹ค.
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+ Word_List: ['ฯ†์˜', '์ œ์–ด์—์„œ๋Š”', '์ œ์–ด์™€', 'ํ‘œํ˜„์ด', 'ฯˆ', '๋กœ๋ด‡', '์“ฐ์ธ๋‹ค', 'ฮธ', '๊ฐ™์€', '์ž์ฃผ', '๊ธฐ๊ธฐ']
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+ response= '์ž๋™ ์Šคํฌ๋กค, ์ž๋™ ๋ฆฌํ”„๋ ˆ์‹œ, ์ž๋™ ์ €์žฅ, ์ž๋™ ํผ ์ฑ„์šฐ๊ธฐ์™€ ๊ฐ™์€ ๋งŽ์€ ์ž๋™ํ™” ๊ธฐ๋Šฅ์ด ์žˆ๋‹ค.'
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+ ```
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+ ### Environments
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+ - **Hardware Type:** Nvidia A100 x 4
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+ - **Training hours:** 3 Days