How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf yugsisodiya/jarvis# Run inference directly in the terminal:
llama cli -hf yugsisodiya/jarvisUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf yugsisodiya/jarvis# Run inference directly in the terminal:
./llama-cli -hf yugsisodiya/jarvisBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf yugsisodiya/jarvis# Run inference directly in the terminal:
./build/bin/llama-cli -hf yugsisodiya/jarvisUse Docker
docker model run hf.co/yugsisodiya/jarvisQuick Links
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 (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf yugsisodiya/jarvis# Run inference directly in the terminal: llama cli -hf yugsisodiya/jarvis