Instructions to use Aname-Tommy/Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Aname-Tommy/Test with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Aname-Tommy/Test", filename="Qwen3.5-FT-Japanese-CoT-4B.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 Aname-Tommy/Test with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Aname-Tommy/Test # Run inference directly in the terminal: llama-cli -hf Aname-Tommy/Test
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Aname-Tommy/Test # Run inference directly in the terminal: llama-cli -hf Aname-Tommy/Test
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 Aname-Tommy/Test # Run inference directly in the terminal: ./llama-cli -hf Aname-Tommy/Test
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 Aname-Tommy/Test # Run inference directly in the terminal: ./build/bin/llama-cli -hf Aname-Tommy/Test
Use Docker
docker model run hf.co/Aname-Tommy/Test
- LM Studio
- Jan
- Ollama
How to use Aname-Tommy/Test with Ollama:
ollama run hf.co/Aname-Tommy/Test
- Unsloth Studio new
How to use Aname-Tommy/Test 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 Aname-Tommy/Test 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 Aname-Tommy/Test to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Aname-Tommy/Test to start chatting
- Pi new
How to use Aname-Tommy/Test with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Aname-Tommy/Test
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Aname-Tommy/Test" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Aname-Tommy/Test with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Aname-Tommy/Test
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Aname-Tommy/Test
Run Hermes
hermes
- Docker Model Runner
How to use Aname-Tommy/Test with Docker Model Runner:
docker model run hf.co/Aname-Tommy/Test
- Lemonade
How to use Aname-Tommy/Test with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Aname-Tommy/Test
Run and chat with the model
lemonade run user.Test-{{QUANT_TAG}}List all available models
lemonade list
7 stem .yaml request
Can you provide the .yaml file for the 7stem test model? I tried to create it myself, but UVR doesn't run the model.
I will try to publish the model in 48 hours. Sorry for late to publish to public, I'll do my best on this model
Ok. I’ve high hopes for this model. It has the highest num of stems, even among the closed MVSEP models. I really hope that you will be able to achieve good quality indicators. Good luck!