README.md

---
language:
- ko
library_name: transformers
base_model:
- google/gemma-2-9b-it
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
- date: 24. 10.11
- horangi: 0.6812 (llm_kr_eval: 0.0603, mt_bench: 7.322)

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** saltware
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** te
- **Language(s) (NLP):** [More Information Needed]
-Gemma Terms of Use
Last modified: April 1, 2024

By using, reproducing, modifying, distributing, performing, or displaying any portion or element of Gemma or Model Derivatives, including via any Hosted Service (each as defined below) (collectively, the "Gemma Services"), or otherwise accepting the terms of this Agreement, you agree to be bound by this Agreement.

Section 1: Definitions
1.1 Definitions
"Agreement" or "Gemma Terms of Use": These terms and conditions govern the use, reproduction, Distribution, or modification of the Gemma Services and any incorporated terms.
"Distribution" or "Distribute": Any transmission, publication, or other sharing of Gemma or Model Derivatives to a third party, including providing or making it available via API, web access, or other electronic means ("Hosted Service").
"Gemma": The set of machine learning language models, trained model weights, and parameters identified at ai.google.dev/gemma, regardless of where obtained.
"Google": Google LLC.
"Model Derivatives": All (i) modifications to Gemma, (ii) works based on Gemma, or (iii) any other machine learning model created by transfer of patterns of the weights, parameters, operations, or Output of Gemma to another model. Outputs are not considered Model Derivatives.
"Output": The information content output generated by Gemma or a Model Derivative.
1.2 Usage of "including"
The term "including" in this Agreement means "including without limitation."

Section 2: Eligibility and Usage
2.1 Eligibility
You represent and warrant that you have the legal capacity to enter into this Agreement. If you are accessing or using the Gemma Services for or on behalf of a legal entity, (a) you represent both yourself and the entity, (b) you have the authority to act on behalf of and bind the entity, and (c) "you" refers to both you and the entity.

2.2 Use
You may use, reproduce, modify, Distribute, perform, or display any of the Gemma Services only in accordance with this Agreement. You must not violate (or allow others to violate) any term of this Agreement.

Section 3: Distribution and Restrictions
3.1 Distribution and Redistribution
You may reproduce or Distribute copies of Gemma or Model Derivatives under these conditions:

Include the use restrictions from Section 3.2 as an enforceable provision in any agreement governing the use or Distribution of Gemma or Model Derivatives.
Provide notice to recipients that Gemma or Model Derivatives are subject to the restrictions in Section 3.2.
Provide a copy of this Agreement to third parties receiving Gemma or Model Derivatives.
Prominently note any file modifications.
Include a "Notice" text file with this statement: "Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms."
You may add additional terms for your modifications, provided they don’t conflict with this Agreement.
3.2 Use Restrictions
You must not use any of the Gemma Services:

For restricted uses set forth in the Gemma Prohibited Use Policy.
In violation of applicable laws and regulations.
Google reserves the right to restrict usage of the Gemma Services that violates this Agreement.

3.3 Generated Output
Google claims no rights in Outputs generated by Gemma. You and your users are solely responsible for the Outputs and their uses.

Section 4: Additional Provisions
4.1 Updates
Google may update Gemma periodically.

4.2 Trademarks
Nothing in this Agreement grants rights to use Google’s trademarks, trade names, or logos.

4.3 Disclaimer of Warranty
Gemma Services and Outputs are provided "as is" without warranties or conditions of any kind, unless required by law.

4.4 Limitation of Liability
To the fullest extent permitted by law, Google or its affiliates are not liable for any damages arising from this Agreement, Gemma Services, or Outputs.

4.5 Term, Termination, and Survival
This Agreement is effective upon your acceptance and continues until terminated. Google may terminate the Agreement for breach. Upon termination, you must delete and cease use of all copies of Gemma and Model Derivatives. Sections 1, 2.1, 3.3, and 4.2 to 4.9 survive termination.

4.6 Governing Law and Jurisdiction
This Agreement is governed by California law. The UN Convention on Contracts for the International Sale of Goods does not apply. Courts in Santa Clara County, California, have exclusive jurisdiction.

4.7 Severability
If any provision is held invalid, the remaining provisions remain in effect.

4.8 Entire Agreement
This Agreement contains all terms agreed between the parties, superseding prior agreements.

4.9 No Waiver
Google does not waive any rights by not exercising rights under this Agreement.

Additional Terms for Model Derivatives:
This model is a derivative work of the Gemma model by Google and is distributed under the terms of the Gemma Terms of Use.
  
**Commercial Use Restrictions**:
- Only "Saltware Co., Ltd." retains the exclusive right to use this model for commercial purposes.
- All third parties, including individuals, companies, and organizations, are prohibited from using this model for any commercial purposes.
- Non-commercial use is permitted under the Creative Commons BY-NC license.
Any use of this model must comply with the Gemma Terms of Use, and all modifications made to the original Gemma model have been clearly indicated.
- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

[More Information Needed]

### Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Training Details

### Training Data

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[More Information Needed]

### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]


#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

[More Information Needed]

## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

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[More Information Needed]

#### Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

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#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

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### Results

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#### Summary



## Model Examination [optional]

<!-- Relevant interpretability work for the model goes here -->

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## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

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).

- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]

## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

<!-- 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 [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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