Instructions to use MoYoYoTech/Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use MoYoYoTech/Translator with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MoYoYoTech/Translator", filename="moyoyo_asr_models/qwen2.5-1.5b-instruct-q5_0.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 MoYoYoTech/Translator with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/Translator:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/Translator:Q5_0
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 MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: ./llama-cli -hf MoYoYoTech/Translator:Q5_0
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 MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf MoYoYoTech/Translator:Q5_0
Use Docker
docker model run hf.co/MoYoYoTech/Translator:Q5_0
- LM Studio
- Jan
- Ollama
How to use MoYoYoTech/Translator with Ollama:
ollama run hf.co/MoYoYoTech/Translator:Q5_0
- Unsloth Studio
How to use MoYoYoTech/Translator 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 MoYoYoTech/Translator 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 MoYoYoTech/Translator to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MoYoYoTech/Translator to start chatting
- Pi
How to use MoYoYoTech/Translator with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/Translator:Q5_0
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": "MoYoYoTech/Translator:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use MoYoYoTech/Translator with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/Translator:Q5_0
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 MoYoYoTech/Translator:Q5_0
Run Hermes
hermes
- Docker Model Runner
How to use MoYoYoTech/Translator with Docker Model Runner:
docker model run hf.co/MoYoYoTech/Translator:Q5_0
- Lemonade
How to use MoYoYoTech/Translator with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MoYoYoTech/Translator:Q5_0
Run and chat with the model
lemonade run user.Translator-Q5_0
List all available models
lemonade list
| __pycache__/ | |
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| *.egg-info/ | |
| .installed.cfg | |
| *.egg | |
| MANIFEST | |
| # PyInstaller | |
| # Usually these files are written by a python script from a template | |
| # before PyInstaller builds the exe, so as to inject date/other infos into it. | |
| *.manifest | |
| *.spec | |
| # Installer logs | |
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| cover/ | |
| # Translations | |
| *.mo | |
| *.pot | |
| # Django stuff: | |
| *.log | |
| local_settings.py | |
| db.sqlite3 | |
| db.sqlite3-journal | |
| # Flask stuff: | |
| instance/ | |
| .webassets-cache | |
| # Scrapy stuff: | |
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| # Sphinx documentation | |
| docs/_build/ | |
| test/ | |
| # PyBuilder | |
| .pybuilder/ | |
| target/ | |
| llama-cpp-python/ | |
| # Jupyter Notebook | |
| .ipynb_checkpoints | |
| # IPython | |
| profile_default/ | |
| ipython_config.py | |
| # pyenv | |
| # For a library or package, you might want to ignore these files since the code is | |
| # intended to run in multiple environments; otherwise, check them in: | |
| # .python-version | |
| # pipenv | |
| # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | |
| # However, in case of collaboration, if having platform-specific dependencies or dependencies | |
| # having no cross-platform support, pipenv may install dependencies that don't work, or not | |
| # install all needed dependencies. | |
| #Pipfile.lock | |
| # UV | |
| # Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. | |
| # This is especially recommended for binary packages to ensure reproducibility, and is more | |
| # commonly ignored for libraries. | |
| #uv.lock | |
| # poetry | |
| # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. | |
| # This is especially recommended for binary packages to ensure reproducibility, and is more | |
| # commonly ignored for libraries. | |
| # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control | |
| #poetry.lock | |
| # pdm | |
| # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. | |
| #pdm.lock | |
| # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it | |
| # in version control. | |
| # https://pdm.fming.dev/latest/usage/project/#working-with-version-control | |
| .pdm.toml | |
| .pdm-python | |
| .pdm-build/ | |
| # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm | |
| __pypackages__/ | |
| # Celery stuff | |
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| celerybeat.pid | |
| # SageMath parsed files | |
| *.sage.py | |
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| # Spyder project settings | |
| .spyderproject | |
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| # Rope project settings | |
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| # mkdocs documentation | |
| /site | |
| # mypy | |
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| .pyre/ | |
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| cython_debug/ | |
| # PyCharm | |
| # JetBrains specific template is maintained in a separate JetBrains.gitignore that can | |
| # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore | |
| # and can be added to the global gitignore or merged into this file. For a more nuclear | |
| # option (not recommended) you can uncomment the following to ignore the entire idea folder. | |
| #.idea/ | |
| # Ruff stuff: | |
| .ruff_cache/ | |
| # PyPI configuration file | |
| .pypirc | |
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| pywhispercpp/ | |
| test_data.csv |