Jarvis (v2)
Jarvis is an advanced neural intelligence model trained and compiled with the J.A.R.V.I.S. Neural Forge studio by Yug Sisodiya.
🚀 Quickstart with Ollama
Run this model with a single command via Ollama:
ollama run hf.co/yugsisodiya/jarvis
Model Overview
- Model Name: Jarvis
- Release Version: v2
- Base Foundation: Jarvis (J.A.R.V.I.S. Neural Architecture)
- Neural Architecture: jarvis-grand-architecture
- Context Window: 131072 tokens
- GGUF Weights:
Available (jarvis.gguf)
Architecture Highlights
- Fully integrated with the J.A.R.V.I.S. unified cognitive assistant architecture.
- Optimized for low-latency interactive inference, multi-domain reasoning, and executive problem solving.
- Checkpointed neural weights verified in local studio runtime.
Platform Integration
This model is accessible within the J.A.R.V.I.S. Command Console on port 4700 and compatible with local neural inference pipelines.
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Hardware compatibility
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "yugsisodiya/jarvis"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yugsisodiya/jarvis", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'