README.md

metadata

title: Legion Coder 8M - 10k Edition
emoji: 🚀
colorFrom: purple
colorTo: indigo
sdk: streamlit
sdk_version: 1.28.0
python_version: '3.10'
app_file: app.py
pinned: false

Legion Coder 8M - Dual Deploy Package

Quick Deploy Options

Option 1: Streamlit (Hugging Face Spaces)

# Install dependencies
pip install -r requirements_streamlit.txt

# Run locally
streamlit run app.py

Deploy to Hugging Face Spaces:

1. Go to https://huggingface.co/new-space
2. Select "Streamlit" as SDK
3. Upload app.py and requirements_streamlit.txt
4. Set model environment variable (optional)

Option 2: Gradio (Local/Cloud)

# Install dependencies
pip install -r requirements_gradio.txt

# Run locally
python gradio_app.py

Deploy to Hugging Face Spaces:

1. Go to https://huggingface.co/new-space
2. Select "Gradio" as SDK
3. Upload gradio_app.py and requirements_gradio.txt

Option 3: AWS SageMaker

import sagemaker
from sagemaker.huggingface import HuggingFaceModel

huggingface_model = HuggingFaceModel(
model_data="pnny13/legion-coder-8m",
transformers_version="4.36.0",
pytorch_version="2.1.0",
py_version="py310",
role="YOUR_SAGEMAKER_ROLE",
)

predictor = huggingface_model.deploy(
initial_instance_count=1,
instance_type="ml.m5.large",
endpoint_name="legion-coder-8m"
)

Model Information

• Model ID: dineth554/legion-coder-8m-10k
• Parameters: 44,341,632 (~44M)
• Size: ~170 MB
• Format: Safetensors
• Context: 1,024 tokens

System Requirements

• CPU: 2+ cores
• RAM: 8GB minimum
• Python: 3.8+
• PyTorch: 2.0+

Branding

• MADE WITH BY DEATH LEGION
• POWERED BY nvdya-kit
• 2026 Edition