Text Generation
Transformers
English
mergekit
coding
agentic
reasoning
qwen2.5
llama-3.1
Merge
sovereign
Instructions to use Vaultkeeper/Sovereign-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vaultkeeper/Sovereign-Code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Vaultkeeper/Sovereign-Code")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vaultkeeper/Sovereign-Code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Vaultkeeper/Sovereign-Code with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Vaultkeeper/Sovereign-Code" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vaultkeeper/Sovereign-Code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Vaultkeeper/Sovereign-Code
- SGLang
How to use Vaultkeeper/Sovereign-Code with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Vaultkeeper/Sovereign-Code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vaultkeeper/Sovereign-Code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Vaultkeeper/Sovereign-Code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vaultkeeper/Sovereign-Code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Vaultkeeper/Sovereign-Code with Docker Model Runner:
docker model run hf.co/Vaultkeeper/Sovereign-Code
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license: apache-2.0
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<div align="center" style="display: flex; justify-content: center; align-items: center; gap: 40px; flex-wrap: wrap; margin: 2em 0;">
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<img src="https://huggingface.co/Vaultkeeper/Sovereign-Code/resolve/main/Sovereign-Code.png" alt="Sovereign-Code" width="400" style="max-height: 400px;" />
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<h1 style="margin: 0; font-size: 2.8em; line-height: 1.1;">Sovereign-Code </h1>
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<p style="margin: 8px 0 0; font-size: 1.4em; opacity: 0.9; font-weight: 500;">by VaultAI</p>
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<img src="https://huggingface.co/Vaultkeeper/ouroboros-next/resolve/main/vaultai-logo.png" alt="VAULTAI" width="300" style="max-height: 300px;" />
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