--- license: gpl-3.0 datasets: - zefang-liu/secqa - zefang-liu/phishing-email-dataset - zefang-liu/cve-and-cwe-mapping-dataset - morpheuslord/cve-llm-training - EddieChen372/python_vul_cvefix_small - icantiemyshoe/cve-to-metasploit-module - lambdasec/cve-single-line-fixes - lambdasec/gh-top-1000-projects-vulns - hackaprompt/hackaprompt-dataset - pentest-org-2/dataset-2 - Isamu136/penetration_testing_scraped_dataset - iamtarun/python_code_instructions_18k_alpaca - Vezora/Tested-143k-Python-Alpaca - neuralsentry/bigvul_devign_cvefixes_neuralsentry_commits - hotal/linux_commands - Nexa4AI/android_data_test - SamsungSAILMontreal/deepnets1m - builddotai/Egocentric-10K-Evaluation - neulab/agent-data-collection - Open-Bee/Honey-Data-15M - nick007x/github-code-2025 metrics: - accuracy - precision - bleurt - rouge - code_eval - f1 - bertscore - bleu library_name: transformers language: - en base_model: - moonshotai/Kimi-K2-Thinking pipeline_tag: reinforcement-learning --- # Model Card for Model ID This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). ## Model Details ### Model Description - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## 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 [optional] [More Information Needed] ## Model Card Contact [More Information Needed]