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--- |
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license: llama4 |
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datasets: |
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- ComputerScienceHouse/GroceryInContext |
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- Lots-of-LoRAs/task701_mmmlu_answer_generation_high_school_computer_science |
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- AyoubChLin/ARxiv_Metadata_ComputerScience |
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- 5CD-AI/Viet-ComputerScience-VQA |
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- shibarashii/general-computer-science-queries |
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- Kaeyze/computer-science-synthetic-dataset |
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- Danhpham2000/computer_science_qa_dataset |
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- masoudc/mmlu-college-computer-science-compilers |
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- masoudc/mmlu-college-computer-science-distribution-parallelism |
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- Lots-of-LoRAs/task688_mmmlu_answer_generation_college_computer_science |
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- >- |
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DataoceanAI/University-level_Mathematics_Physics_Chemistry_Computer_Science_Reasoning_Corpus |
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- SukrutAI/Computer-Science-Parallel-Dataset-Indic |
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- SukrutAI/Computer-Science-Conversational-Dataset-Indic |
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- herronej/SciTrust2-ComputerScienceQA |
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- anonymous-paper-author/original_mmlu_pro_computerscience |
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- >- |
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anonymous-paper-author/anonymous-paper-author_reproduction_o4mini_computerscience |
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- >- |
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anonymous-paper-author/anonymous-paper-author_reproduction_deepseekr1_computerscience |
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- >- |
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anonymous-paper-author/anonymous-paper-author_reproduction_g3_mini_computerscience |
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- >- |
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anonymous-paper-author/anonymous-paper-author_reproduction_qwen235b_computerscience |
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- Jenjamin3000/RAG_documents_computer_science |
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- cristiano-sartori/college_computer_science |
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- cristiano-sartori/high_school_computer_science |
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- gabrieljimenez/wikipedia-english-handpicked-computer-science |
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- gabrieljimenez/epfl-computer-science-mcqa |
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- japan-ai-official/jmmlu-curated-computer-science |
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- paperlantern/computer_science_ai_search_queries |
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- paperlantern/computer_science_non_ai_search_queries |
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- joey234/mmlu-college_computer_science-neg |
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- joey234/mmlu-high_school_computer_science-neg |
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- joey234/mmlu-college_computer_science-neg-prepend |
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- joey234/mmlu-high_school_computer_science-neg-prepend |
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- joey234/mmlu-college_computer_science-verbal-neg-prepend |
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- joey234/mmlu-high_school_computer_science-verbal-neg-prepend |
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- joey234/mmlu-college_computer_science-rule-neg-prepend |
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- joey234/mmlu-high_school_computer_science-rule-neg-prepend |
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- joey234/mmlu-college_computer_science-original-neg |
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- joey234/mmlu-high_school_computer_science-original-neg |
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- joey234/mmlu-college_computer_science-original-neg-prepend |
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- joey234/mmlu-high_school_computer_science-original-neg-prepend |
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- joey234/mmlu-college_computer_science-neg-answer |
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- joey234/mmlu-high_school_computer_science-neg-answer |
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- joey234/mmlu-college_computer_science |
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- joey234/mmlu-high_school_computer_science-dev |
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- awsebbas/QA_computer_science |
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- joey234/mmlu-college_computer_science-neg-prepend-fix |
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- joey234/mmlu-high_school_computer_science-neg-prepend-fix |
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- joey234/mmlu-college_computer_science-neg-prepend-verbal |
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- brucewlee1/mmlu-high-school-computer-science |
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- brucewlee1/mmlu-college-computer-science |
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- samehuss/Computersciencewords |
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- barath13/computerscience91 |
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- Puidii/aalen_university_faculty_computer_science |
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- AlaaElhilo/Wikipedia_ComputerScience |
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language: |
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- en |
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base_model: |
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- meta-llama/Llama-4-Scout-17B-16E-Instruct |
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- meta-llama/Llama-4-Maverick-17B-128E-Instruct |
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- unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF |
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- meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 |
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- meta-llama/Llama-4-Scout-17B-16E |
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metrics: |
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- accuracy |
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- f1 |
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- exact_match |
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- bleu |
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library_name: transformers |
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tags: |
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- Llama-4 |
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- transformer |
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- text-generation |
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- code-generation |
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- c++ |
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- computer-science |
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- educational |
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- visual-studio |
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- open-source |
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- student-assistant |
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model-index: |
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- name: CS-AI-LLaMA4-Assistant |
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results: |
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- task: |
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type: question-answering |
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name: QA (Computer Science) |
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dataset: |
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name: Multiple CS QA Sets |
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type: multiple |
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metrics: |
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- type: accuracy |
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value: 0.04 |
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- type: f1 |
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value: 0.07 |
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- type: exact_match |
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value: 0.76 |
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- task: |
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type: text-generation |
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name: C++ Code Generation |
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dataset: |
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name: Combined code datasets |
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type: code |
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metrics: |
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- type: codebleu |
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value: 0.73 |
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new_version: JSR-0003/Computer-Science_All-Courses-Guru |
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--- |
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# CS-AI-LLaMA4-Assistant |
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A fine-tuned LLaMA 4 model designed as a study and code generation assistant for undergraduate Computer Science students... |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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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). |
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## Model Details |
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### Model Description |
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- **Developed by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** [More Information Needed] |
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### Model Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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### Direct Use |
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[More Information Needed] |
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### Downstream Use [optional] |
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[More Information Needed] |
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### Out-of-Scope Use |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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### Recommendations |
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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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[More Information Needed] |
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### 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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[More Information Needed] |
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#### Factors |
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[More Information Needed] |
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#### Metrics |
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[More Information Needed] |
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### Results |
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#### Summary |
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## Model Examination [optional] |
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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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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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## Glossary [optional] |
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## More Information [optional] |
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## Model Card Authors [optional] |
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## Model Card Contact |
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