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
| { | |
| "高斯姆": "GOSIM", | |
| "GO SIM": "GOSIM", | |
| "go sim": "GOSIM", | |
| "GO SAME": "GOSIM", | |
| "go same": "GOSIM", | |
| "GoSync": "GOSIM", | |
| "Go Son": "GOSIM", | |
| "GOSIMe": "GOSIM", | |
| "CSN": "CSDN", | |
| "CSDF": "CSDN", | |
| "CSTN": "CSDN", | |
| "OpenAZI": "Open AGI", | |
| "CSdn": "CSDN", | |
| "DeepSeq": "DeepSeek", | |
| "deep sig": "DeepSeek", | |
| "deep sick": "DeepSeek", | |
| "chat GBT": "ChatGPT", | |
| "Deep sike": "DeepSeek", | |
| "Deep sink": "DeepSeek", | |
| "它跟face": "huggingface", | |
| "拉么index": "LlamaIndex", | |
| "lama index": "LlamaIndex", | |
| "feature为": "futurewei", | |
| "future为": "futurewei", | |
| "future维": "futurewei", | |
| "feature维": "futurewei", | |
| "defive": "Dify", | |
| "open minus":"open manus", | |
| "Open minus":"open manus", | |
| "美塔GPT": "metagpt", | |
| "Open manners": "open manus", | |
| "Deep wisdom":"DeepWisdom", | |
| "meta GPT": "MetaGPT", | |
| "rag flu": "RAGFlow", | |
| "rug flu": "RAGFlow", | |
| "RAG flow": "RAGFlow", | |
| "RAG floor": "RAGFlow", | |
| "rig floor": "RAGFlow", | |
| "rik flow": "RAGFlow", | |
| "Rik flow": "RAGFlow", | |
| "Raj flow": "RAGFlow", | |
| "Read flow": "RAGFlow", | |
| "二AJ flow": "RAGFlow", | |
| "Rig flow": "RAGFlow", | |
| "二AG flow": "RAGFlow", | |
| "Rick flow": "RAGFlow", | |
| "ick flow": "RAGFlow", | |
| "二AJ": "RAG", | |
| "美他GBT": "MetaGPT", | |
| "没他GPT": "MetaGPT", | |
| "GBT": "GPT", | |
| "美他": "Meta", | |
| "英飞流": "InfinFlow", | |
| "H一百": "H100", | |
| "v一百": "V100", | |
| "h两百": "H200", | |
| "H两百": "H200", | |
| "隐扣的": "encoder", | |
| "抵扣的": "decoder", | |
| "耳机": "RAG", | |
| "头坑": "token", | |
| "麦TGPT": "MetaGPT", | |
| "三点四b": "3.4b", | |
| "七b": "7b", | |
| "可拍了的": "Copilot", | |
| "spore": "score", | |
| "KV cash": "KV cache", | |
| "拉玛": "Llama", | |
| "拉玛三": "Llama3", | |
| "拉玛三二": "Llama3.2", | |
| "拉玛三二七零": "Llama3.2-70b", | |
| "拉玛三二七零b": "Llama3.2-70b", | |
| "follow三十二": "fp32" | |
| } | |