--- license: llama3 datasets: - rombodawg/Everything_Instruct_Multilingual - lianghsun/patent-zh_tw-en-translation-dpo language: - zh - en - fr - ko - ja metrics: - bleu base_model: - yentinglin/Llama-3-Taiwan-8B-Instruct pipeline_tag: translation library_name: peft tags: - legal - Taiwan - ROC - patent - translate new_version: LegalSign/Llama-3.1-Freego-8B-Instruct --- # Model Card for LegalSign/Llama-3-Freego-8B-Instruct (WIP) ## Model Details ### Model Description - **Developed by:** [Owen Huang](mailto@owen@legalsign.ai) - **Funded by:** [LegalSign.ai](https://www.legalsign.ai/) - **Model type:** LlamaForCausalLM - **Language(s) (NLP):** zh, en, ja, ko, and fr - **License:** llama3 - **Finetuned from model:** [yentinglin/Llama-3-Taiwan-8B-Instruct](https://huggingface.co/yentinglin/Llama-3-Taiwan-8B-Instruct) ### Model Sources - **Repository:** [LegalSign/Llama-3-Freego-8B-Instruct](https://huggingface.co/LegalSign/Llama-3-Freego-8B-Instruct/) - **Demo:** (WIP) ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations 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 [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact 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 [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [Owen Huang](mailto@owen@legalsign.ai) ## Model Card Contact [Owen Huang](mailto@owen@legalsign.ai)