Instructions to use tkboom/jarvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tkboom/jarvis with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tkboom/jarvis",
	filename="my-finetuned-model.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use tkboom/jarvis with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tkboom/jarvis
# Run inference directly in the terminal:
llama-cli -hf tkboom/jarvis

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tkboom/jarvis
# Run inference directly in the terminal:
llama-cli -hf tkboom/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 tkboom/jarvis
# Run inference directly in the terminal:
./llama-cli -hf tkboom/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 tkboom/jarvis
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tkboom/jarvis

Use Docker

docker model run hf.co/tkboom/jarvis

LM Studio
Jan
Ollama
How to use tkboom/jarvis with Ollama:
```
ollama run hf.co/tkboom/jarvis
```

Unsloth Studio new

How to use tkboom/jarvis with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for tkboom/jarvis to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for tkboom/jarvis to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tkboom/jarvis to start chatting

Docker Model Runner
How to use tkboom/jarvis with Docker Model Runner:
```
docker model run hf.co/tkboom/jarvis
```

Lemonade

How to use tkboom/jarvis with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tkboom/jarvis

Run and chat with the model

lemonade run user.jarvis-{{QUANT_TAG}}

List all available models

lemonade list

jarvis / README.md

tkboom

Upload folder using huggingface_hub

038f969 verified 17 days ago

preview code

raw

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metadata

title: Jarvis
emoji: 😻
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 6.14.0
python_version: '3.13'
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference