| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | - zh |
| | - ko |
| | - ja |
| | - fr |
| | - it |
| | base_model: |
| | - ibm-granite/granite-3.1-3b-a800m-base |
| | library_name: transformers |
| | datasets: |
| | - lianghsun/tw-novel-1.1B |
| | - lianghsun/tw-finance-159M |
| | - lianghsun/tw-legal-news-24M |
| | - lianghsun/tw-gov-news-90M |
| | - lianghsun/tw-gov-556k |
| | - lianghsun/tw-news-551M |
| | - lianghsun/tw-health-43M |
| | - lianghsun/tw-science-24M |
| | - lianghsun/tw-book-43M |
| | - lianghsun/tw-society-88M |
| | - lianghsun/tw-law-article-evolution |
| | - lianghsun/tw-processed-judgments |
| | - lianghsun/tw-legal-methodology |
| | - lianghsun/tw-legal-qa |
| | - lianghsun/tw-judgment-gist |
| | - lianghsun/reasoning-base-20k |
| | - lianghsun/wikipedia-zh-filtered |
| | - AWeirdDev/zh-tw-pts-articles-sm |
| | - bhxiang/c4_calibrate_mini |
| | - intfloat/multilingual_cc_news |
| | tags: |
| | - Taiwan |
| | - ROC |
| | - IBM |
| | - Granite |
| | - zh-tw |
| | --- |
| | # Model Card for Marble-3B |
| |
|
| | <a href="https://discord.gg/fj6WbHMvfs" target="_blank">[👋歡迎加入 Discord 討論🎉]</a> |
| | <!-- 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 |
| |
|
| | ### Model Description |
| |
|
| | <!-- Provide a longer summary of what this model is. --> |
| | - **Developed by:** [Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
| | - **Model type:** GraniteMoeForCausalLM |
| | - **Language(s) (NLP):** zh-tw |
| | - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
| | - **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/) |
| | - **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] |
| | - **Hours used:** [More Information Needed] |
| | - **Cloud Provider:** [More Information Needed] |
| | - **Compute Region:** [More Information Needed] |
| | - **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 |
| |
|
| | [Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
| |
|
| | ## Model Card Contact |
| |
|
| | [Huang Liang Hsun](https://www.linkedin.com/in/lianghsunhuang) |
