---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
pipeline_tag: text-generation
tags:
- directml
- windows
---
# Model Card for Model ID

## Model Details
meta-llama/Meta-Llama-3.1-8B-Instruct quantized to ONNX GenAI INT4 with Microsoft DirectML optimization.<br>
Output is reformatted that each sentence starts at new line to improve readability.
<pre>
...
vNewDecoded = tokenizer_stream.decode(new_token)
if re.findall("^[\x2E\x3A\x3B]$", vPreviousDecoded) and vNewDecoded.startswith(" ") and (not vNewDecoded.startswith(" *")) :
   vNewDecoded = "\n" + vNewDecoded.replace(" ", "", 1)
print(vNewDecoded, end='', flush=True)
vPreviousDecoded = vNewDecoded
...
</pre>

### Model Description
meta-llama/Meta-Llama-3.1-8B-Instruct quantized to ONNX GenAI INT4 with Microsoft DirectML optimization<br>
https://onnxruntime.ai/docs/genai/howto/install.html#directml

Created using ONNX Runtime GenAI's builder.py<br>
https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/src/python/py/models/builder.py

Build options:<br>
INT4 accuracy level: FP32 (float32)<br>
8-bit quantization for MoE layers

- **Developed by:** Mochamad Aris Zamroni

### Model Sources [optional]
https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct

### Direct Use
This is Microsoft Windows DirectML optimized model.<br>
It might not be working in ONNX execution provider other than DmlExecutionProvider.<br>
The needed python scripts are included in this repository

Prerequisites:<br>
1. Install Python 3.10 from Windows Store:<br>
https://apps.microsoft.com/detail/9pjpw5ldxlz5?hl=en-us&gl=US

2. Open command line cmd.exe

3. Create python virtual environment, activate the environment then install onnxruntime-genai-directml<br>
mkdir c:\temp<br>
cd c:\temp<br>
python -m venv dmlgenai<br>
dmlgenai\Scripts\activate.bat<br>
pip install onnxruntime-genai-directml

5. Use the onnxgenairun.py to get chat interface.<br>
It is modified version of "https://github.com/microsoft/onnxruntime-genai/blob/main/examples/python/phi3-qa.py".<br>
The modification makes the text output changes to new line after "., :, and ;" to make the output easier to be read.

rem Change directory to where model and script files is stored
cd this_onnx_model_directory
python onnxgenairun.py --help<br>
python onnxgenairun.py -m . -v -g

5. (Optional but recommended) Device specific optimization.<br>
a. Open "dml-device-specific-optim.py" with text editor and change the file path accordingly.<br>
b. Run the python script: python dml-device-specific-optim.py<br>
c. Rename the original model.onnx to other file name and put and rename the optimized onnx file from step 5.b to model.onnx file.<br>
d. Rerun step 4.

#### Speeds, Sizes, Times [optional]
15 token/s in Radeon 780M with 8GB pre-allocated RAM.<br>
Increase to 16 token/s with device specific optimized model.onnx.<br>
As comparison, LM Studio using GGUF INT4 model and VulkanML GPU acceleration runs at 13 token/s.

#### Hardware
AMD Ryzen Zen4 7840U with integrated Radeon 780M GPU<br>
RAM 32GB<br>

#### Software
Microsoft DirectML on Windows 10

## Model Card Authors [optional]
Mochamad Aris Zamroni

## Model Card Contact
https://www.linkedin.com/in/zamroni/