--- license: llama4 datasets: - ComputerScienceHouse/GroceryInContext - Lots-of-LoRAs/task701_mmmlu_answer_generation_high_school_computer_science - AyoubChLin/ARxiv_Metadata_ComputerScience - 5CD-AI/Viet-ComputerScience-VQA - shibarashii/general-computer-science-queries - Kaeyze/computer-science-synthetic-dataset - Danhpham2000/computer_science_qa_dataset - masoudc/mmlu-college-computer-science-compilers - masoudc/mmlu-college-computer-science-distribution-parallelism - Lots-of-LoRAs/task688_mmmlu_answer_generation_college_computer_science - >- DataoceanAI/University-level_Mathematics_Physics_Chemistry_Computer_Science_Reasoning_Corpus - SukrutAI/Computer-Science-Parallel-Dataset-Indic - SukrutAI/Computer-Science-Conversational-Dataset-Indic - herronej/SciTrust2-ComputerScienceQA - anonymous-paper-author/original_mmlu_pro_computerscience - >- anonymous-paper-author/anonymous-paper-author_reproduction_o4mini_computerscience - >- anonymous-paper-author/anonymous-paper-author_reproduction_deepseekr1_computerscience - >- anonymous-paper-author/anonymous-paper-author_reproduction_g3_mini_computerscience - >- anonymous-paper-author/anonymous-paper-author_reproduction_qwen235b_computerscience - Jenjamin3000/RAG_documents_computer_science - cristiano-sartori/college_computer_science - cristiano-sartori/high_school_computer_science - gabrieljimenez/wikipedia-english-handpicked-computer-science - gabrieljimenez/epfl-computer-science-mcqa - japan-ai-official/jmmlu-curated-computer-science - paperlantern/computer_science_ai_search_queries - paperlantern/computer_science_non_ai_search_queries - joey234/mmlu-college_computer_science-neg - joey234/mmlu-high_school_computer_science-neg - joey234/mmlu-college_computer_science-neg-prepend - joey234/mmlu-high_school_computer_science-neg-prepend - joey234/mmlu-college_computer_science-verbal-neg-prepend - joey234/mmlu-high_school_computer_science-verbal-neg-prepend - joey234/mmlu-college_computer_science-rule-neg-prepend - joey234/mmlu-high_school_computer_science-rule-neg-prepend - joey234/mmlu-college_computer_science-original-neg - joey234/mmlu-high_school_computer_science-original-neg - joey234/mmlu-college_computer_science-original-neg-prepend - joey234/mmlu-high_school_computer_science-original-neg-prepend - joey234/mmlu-college_computer_science-neg-answer - joey234/mmlu-high_school_computer_science-neg-answer - joey234/mmlu-college_computer_science - joey234/mmlu-high_school_computer_science-dev - awsebbas/QA_computer_science - joey234/mmlu-college_computer_science-neg-prepend-fix - joey234/mmlu-high_school_computer_science-neg-prepend-fix - joey234/mmlu-college_computer_science-neg-prepend-verbal - brucewlee1/mmlu-high-school-computer-science - brucewlee1/mmlu-college-computer-science - samehuss/Computersciencewords - barath13/computerscience91 - Puidii/aalen_university_faculty_computer_science - AlaaElhilo/Wikipedia_ComputerScience language: - en base_model: - meta-llama/Llama-4-Scout-17B-16E-Instruct - meta-llama/Llama-4-Maverick-17B-128E-Instruct - unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF - meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 - meta-llama/Llama-4-Scout-17B-16E metrics: - accuracy - f1 - exact_match - bleu library_name: transformers tags: - Llama-4 - transformer - text-generation - code-generation - c++ - computer-science - educational - visual-studio - open-source - student-assistant model-index: - name: CS-AI-LLaMA4-Assistant results: - task: type: question-answering name: QA (Computer Science) dataset: name: Multiple CS QA Sets type: multiple metrics: - type: accuracy value: 0.04 - type: f1 value: 0.07 - type: exact_match value: 0.76 - task: type: text-generation name: C++ Code Generation dataset: name: Combined code datasets type: code metrics: - type: codebleu value: 0.73 new_version: JSR-0003/Computer-Science_All-Courses-Guru --- # CS-AI-LLaMA4-Assistant A fine-tuned LLaMA 4 model designed as a study and code generation assistant for undergraduate Computer Science students... --- # 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]