Instructions to use yugsisodiya/jarvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use yugsisodiya/jarvis with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # 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
Install 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/jarvis
Use 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/jarvis
Build 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/jarvis
Use Docker
docker model run hf.co/yugsisodiya/jarvis
- LM Studio
- Jan
- vLLM
How to use yugsisodiya/jarvis with vLLM:
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?" } ] }'Use Docker
docker model run hf.co/yugsisodiya/jarvis
- Ollama
How to use yugsisodiya/jarvis with Ollama:
ollama run hf.co/yugsisodiya/jarvis
- Unsloth Desktop
- Docker Model Runner
How to use yugsisodiya/jarvis with Docker Model Runner:
docker model run hf.co/yugsisodiya/jarvis
- Lemonade
How to use yugsisodiya/jarvis with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull yugsisodiya/jarvis
Run and chat with the model
lemonade run user.jarvis-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload config.json with huggingface_hub
Browse files- config.json +7 -7
config.json
CHANGED
|
@@ -3,15 +3,15 @@
|
|
| 3 |
"version": "v2",
|
| 4 |
"architecture": "jarvis-grand-architecture",
|
| 5 |
"hyperparameters": {
|
| 6 |
-
"layers":
|
| 7 |
-
"heads":
|
| 8 |
-
"dim":
|
| 9 |
-
"vocab_size":
|
| 10 |
-
"context_window":
|
| 11 |
-
"parameters": "
|
| 12 |
},
|
| 13 |
"base_model": "Jarvis (J.A.R.V.I.S. Neural Architecture)",
|
| 14 |
-
"published_at": "2026-09-24 02:
|
| 15 |
"generator": "JARVIS Neural Forge Admin Studio",
|
| 16 |
"weights_file": "jarvis.gguf",
|
| 17 |
"weights_size_bytes": 3827819904
|
|
|
|
| 3 |
"version": "v2",
|
| 4 |
"architecture": "jarvis-grand-architecture",
|
| 5 |
"hyperparameters": {
|
| 6 |
+
"layers": 96,
|
| 7 |
+
"heads": 64,
|
| 8 |
+
"dim": 8192,
|
| 9 |
+
"vocab_size": 32000,
|
| 10 |
+
"context_window": 131072,
|
| 11 |
+
"parameters": "77.90B Weights"
|
| 12 |
},
|
| 13 |
"base_model": "Jarvis (J.A.R.V.I.S. Neural Architecture)",
|
| 14 |
+
"published_at": "2026-09-24 02:20:56",
|
| 15 |
"generator": "JARVIS Neural Forge Admin Studio",
|
| 16 |
"weights_file": "jarvis.gguf",
|
| 17 |
"weights_size_bytes": 3827819904
|