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--- |
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license: apache-2.0 |
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language: |
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- en |
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- zh |
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- ko |
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- ja |
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- fr |
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- it |
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base_model: |
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- ibm-granite/granite-3.1-3b-a800m-base |
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library_name: transformers |
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datasets: |
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- lianghsun/tw-novel-1.1B |
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- lianghsun/tw-finance-159M |
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- lianghsun/tw-legal-news-24M |
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- lianghsun/tw-gov-news-90M |
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- lianghsun/tw-gov-556k |
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- lianghsun/tw-news-551M |
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- lianghsun/tw-health-43M |
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- lianghsun/tw-science-24M |
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- lianghsun/tw-book-43M |
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- lianghsun/tw-society-88M |
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- lianghsun/tw-law-article-evolution |
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- lianghsun/tw-processed-judgments |
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- lianghsun/tw-legal-methodology |
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- lianghsun/tw-legal-qa |
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- lianghsun/tw-judgment-gist |
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- lianghsun/reasoning-base-20k |
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- lianghsun/wikipedia-zh-filtered |
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- AWeirdDev/zh-tw-pts-articles-sm |
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- bhxiang/c4_calibrate_mini |
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- intfloat/multilingual_cc_news |
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tags: |
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- Taiwan |
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- ROC |
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- IBM |
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- Granite |
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- zh-tw |
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--- |
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# Model Card for Marble-3B |
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<a href="https://discord.gg/fj6WbHMvfs" target="_blank">[👋歡迎加入 Discord 討論🎉]</a> |
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<!-- Provide a quick summary of what the model is/does. --> |
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採用 [ibm-granite/granite-3.1-3b-a800m-base](https://huggingface.co/ibm-granite/granite-3.1-3b-a800m-base) 為[基礎模型（foundation model）](https://en.wikipedia.org/wiki/Foundation_model)，使用大量[中華民國台灣](https://zh.wikipedia.org/zh-tw/%E8%87%BA%E7%81%A3)的繁體中文語料和多國語料進行模型[持績預訓練（continual pretraining, CPT）](https://docs.unsloth.ai/basics/continued-pretraining)，旨在訓練出具有中華民國台灣知識及風格的 [MOE](https://huggingface.co/blog/moe) [小語言模型（small langugae model, SLM）](https://www.ibm.com/think/topics/small-language-models)。 |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
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- **Model type:** GraniteMoeForCausalLM |
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- **Language(s) (NLP):** zh-tw |
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
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- **Continual pre-trained from model:** [ibm-granite/granite-3.1-3b-a800m-base](https://huggingface.co/ibm-granite/granite-3.1-3b-a800m-base) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [lianghsun/Marble-3B](https://huggingface.co/lianghsun/Marble-3B/) |
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- **Demo:** [WIP] |
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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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### 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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### Downstream Use [optional] |
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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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### 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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## 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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### 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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### 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 |
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[Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
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## Model Card Contact |
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[Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
