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

Libraries

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

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

Translator

File size: 1,963 Bytes

{
    "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"

}