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 Settings
- llama.cpp
How to use MoYoYoTech/Translator 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 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 serve -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 serve -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 serve -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
- Atomic Chat new
- OpenClaw new
How to use MoYoYoTech/Translator with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MoYoYoTech/Translator:Q5_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "MoYoYoTech/Translator:Q5_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- 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
| # This file was autogenerated by uv via the following command: | |
| # uv pip compile pyproject.toml -o requirements.txt | |
| annotated-types==0.7.0 | |
| # via pydantic | |
| anyio==4.9.0 | |
| # via starlette | |
| audioread==3.0.1 | |
| # via librosa | |
| av==14.3.0 | |
| # via trans (pyproject.toml) | |
| certifi==2025.1.31 | |
| # via requests | |
| cffi==1.17.1 | |
| # via soundfile | |
| charset-normalizer==3.4.1 | |
| # via requests | |
| click==8.1.8 | |
| # via uvicorn | |
| coloredlogs==15.0.1 | |
| # via onnxruntime | |
| decorator==5.2.1 | |
| # via librosa | |
| fastapi==0.115.12 | |
| # via trans (pyproject.toml) | |
| filelock==3.18.0 | |
| # via | |
| # huggingface-hub | |
| # torch | |
| # transformers | |
| flatbuffers==25.2.10 | |
| # via onnxruntime | |
| fsspec==2025.3.2 | |
| # via | |
| # huggingface-hub | |
| # torch | |
| h11==0.14.0 | |
| # via uvicorn | |
| huggingface-hub==0.30.2 | |
| # via | |
| # tokenizers | |
| # transformers | |
| humanfriendly==10.0 | |
| # via coloredlogs | |
| idna==3.10 | |
| # via | |
| # anyio | |
| # requests | |
| jinja2==3.1.6 | |
| # via torch | |
| joblib==1.4.2 | |
| # via | |
| # librosa | |
| # scikit-learn | |
| lazy-loader==0.4 | |
| # via librosa | |
| librosa==0.11.0 | |
| # via trans (pyproject.toml) | |
| llvmlite==0.44.0 | |
| # via numba | |
| markupsafe==3.0.2 | |
| # via jinja2 | |
| mpmath==1.3.0 | |
| # via sympy | |
| msgpack==1.1.0 | |
| # via librosa | |
| networkx==3.4.2 | |
| # via torch | |
| numba==0.61.0 | |
| # via librosa | |
| numpy==2.1.3 | |
| # via | |
| # trans (pyproject.toml) | |
| # librosa | |
| # numba | |
| # onnxruntime | |
| # scikit-learn | |
| # scipy | |
| # soundfile | |
| # soxr | |
| # transformers | |
| onnxruntime==1.21.0 | |
| # via | |
| # trans (pyproject.toml) | |
| # silero-vad | |
| packaging==24.2 | |
| # via | |
| # huggingface-hub | |
| # lazy-loader | |
| # onnxruntime | |
| # pooch | |
| # transformers | |
| platformdirs==4.3.7 | |
| # via pooch | |
| pooch==1.8.2 | |
| # via librosa | |
| protobuf==6.30.2 | |
| # via onnxruntime | |
| pyaudio==0.2.14 | |
| # via trans (pyproject.toml) | |
| pycparser==2.22 | |
| # via cffi | |
| pydantic==2.11.2 | |
| # via | |
| # trans (pyproject.toml) | |
| # fastapi | |
| pydantic-core==2.33.1 | |
| # via pydantic | |
| pydub==0.25.1 | |
| # via trans (pyproject.toml) | |
| pyyaml==6.0.2 | |
| # via | |
| # huggingface-hub | |
| # transformers | |
| regex==2024.11.6 | |
| # via transformers | |
| requests==2.32.3 | |
| # via | |
| # huggingface-hub | |
| # pooch | |
| # transformers | |
| safetensors==0.5.3 | |
| # via transformers | |
| scikit-learn==1.6.1 | |
| # via librosa | |
| scipy==1.15.2 | |
| # via | |
| # librosa | |
| # scikit-learn | |
| setuptools==78.1.0 | |
| # via trans (pyproject.toml) | |
| silero-vad==5.1.2 | |
| # via trans (pyproject.toml) | |
| sniffio==1.3.1 | |
| # via anyio | |
| soundfile==0.13.1 | |
| # via | |
| # trans (pyproject.toml) | |
| # librosa | |
| soxr==0.5.0.post1 | |
| # via librosa | |
| starlette==0.46.1 | |
| # via fastapi | |
| sympy==1.13.1 | |
| # via | |
| # onnxruntime | |
| # torch | |
| threadpoolctl==3.6.0 | |
| # via scikit-learn | |
| tokenizers==0.21.1 | |
| # via transformers | |
| torch==2.6.0 | |
| # via | |
| # trans (pyproject.toml) | |
| # silero-vad | |
| # torchaudio | |
| torchaudio==2.6.0 | |
| ane_transformers | |
| openai-whisper | |
| coremltools | |
| # via silero-vad | |
| tqdm==4.67.1 | |
| # via | |
| # trans (pyproject.toml) | |
| # huggingface-hub | |
| # transformers | |
| transformers==4.51.3 | |
| # via trans (pyproject.toml) | |
| typing-extensions==4.13.1 | |
| # via | |
| # anyio | |
| # fastapi | |
| # huggingface-hub | |
| # librosa | |
| # pydantic | |
| # pydantic-core | |
| # torch | |
| # typing-inspection | |
| typing-inspection==0.4.0 | |
| # via pydantic | |
| urllib3==2.3.0 | |
| # via requests | |
| uvicorn==0.34.0 | |
| # via trans (pyproject.toml) | |
| websocket-client==1.8.0 | |
| # via trans (pyproject.toml) | |
| websockets==15.0.1 | |
| # via trans (pyproject.toml) | |
| wordninja==2.0.0 | |
| # via trans (pyproject.toml) | |
| funasr==1.2.6 | |