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README.md
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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:** Mochamad Aris Zamroni
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- **Funded by [optional]:** [More Information Needed]
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### Direct Use
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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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## 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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[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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#### Hardware
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AMD Radeon 780M
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#### Software
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Microsoft Windows DirectML
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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 [optional]
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Mochamad Aris Zamroni
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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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meta-llama/Meta-Llama-3.1-8B-Instruct quantized to ONNX GenAI INT4 with Microsoft DirectML optimization
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### Model Description
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meta-llama/Meta-Llama-3.1-8B-Instruct quantized to ONNX GenAI INT4 with Microsoft DirectML optimization
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https://onnxruntime.ai/docs/genai/howto/install.html#directml
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Created using ONNX Runtime GenAI's builder.py
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https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/src/python/py/models/builder.py -o builder.py
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INT4 accuracy level: FP32 (float32)
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8-bit quantization for MoE layers
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- **Developed by:** Mochamad Aris Zamroni
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- **Funded by [optional]:** [More Information Needed]
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### Direct Use
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This is Windows DirectML optimized model.
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Prerequisites:
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1. Install Python 3.10 from Windows Store:
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https://apps.microsoft.com/detail/9pjpw5ldxlz5?hl=en-us&gl=US
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2. Open command line cmd.exe
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3. Create python virtual environment:
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mkdir c:\temp
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cd c:\temp
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python -m venv dmlgenai
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dmlgenai\Scripts\activate.bat
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pip install onnxruntime-genai-directml
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[More Information Needed]
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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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#### Preprocessing [optional]
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[More Information Needed]
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#### Speeds, Sizes, Times [optional]
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15 token/s in Radeon 780M with 8GB dedicated RAM
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#### Metrics
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#### Hardware
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AMD Ryzen 7840U with integrated Radeon 780M GPU
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RAM 32GB
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shared VRAM 8GB
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#### Software
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Microsoft Windows DirectML
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## Model Card Authors [optional]
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Mochamad Aris Zamroni
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