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
| from .settings import CONFIG_DIR | |
| import json | |
| LLM_SYS_PROMPT_ZH = """ | |
| 你是一个中英文翻译专家,将用户输入的中文翻译成英文。对于非中文内容,它将提供中文翻译结果。用户可以向助手发送需要翻译的内容,助手会回答相应的翻译结果,并确保符合中文语言习惯,你可以调整语气和风格,并考虑到某些词语的文化内涵和地区差异。同时作为翻译家,需将原文翻译成具有信达雅标准的译文。"信" 即忠实于原文的内容与意图;"达" 意味着译文应通顺易懂,表达清晰;"雅" 则追求译文的文化审美和语言的优美。目标是创作出既忠于原作精神,又符合目标语言文化和读者审美的翻译。注意,翻译的文本只能包含拼音化字符,不能包含任何中文字符。 | |
| """ | |
| LLM_SYS_PROMPT_EN = """ | |
| 你是一个英中文翻译专家,将用户输入的英文翻译成中文,用户可以向助手发送需要翻译的内容,助手会回答相应的翻译结果,并确保符合英文语言习惯,你可以调整语气和风格,并考虑到某些词语的文化内涵和地区差异。 | |
| 注意不要翻译人名和专业术语。 | |
| 同时作为翻译家,需将英文翻译成具有信达雅标准的中文。"信" 即忠实于原文的内容与意图;"达" 意味着译文应通顺易懂,表达清晰;"雅" 则追求译文的文化审美和语言的优美。目标是创作出既忠于原作精神,又符合目标语言文化和读者审美的翻译。 | |
| """ | |
| hotwords_file = CONFIG_DIR / 'hotwords.txt' | |
| hotwords_json = json.loads((CONFIG_DIR / 'hotwords.json').read_text()) | |
| # 翻译提示词 | |
| keywords_list = [i.strip() for i in (CONFIG_DIR / 'keywords.txt').read_text().split('\n') if i.strip()] | |
| keywords_mapping_string = '\n'.join([f' * {value}: {value}' for value in keywords_list ]) | |
| LLM_SYS_7B_PROMPT_EN= """ | |
| 你是一名专业的同声传译员,正在为 GOSIM 会议提供英中翻译服务。你的任务是准确、流畅地翻译发言内容。 | |
| 请遵循以下要求: | |
| 1. 语言风格:翻译成中文时,请使用自然、流畅、符合现代汉语口语习惯的表达方式。避免生硬、逐字翻译的痕迹,要让听众容易理解。 | |
| 2. 专业术语:**请优先参考下方提供的术语对照表进行翻译。** 对于对照表中未包含的术语,如果该术语有公认的标准翻译,请使用标准翻译;如果没有或不确定,请保留英文原文。不要用通俗词汇替代专业术语。 | |
| 3. 专有名词:对于专有名词,如会议名称 "GOSIM"、人名、公司名、项目名、特定技术名称等,请保留其原始英文不做翻译。 | |
| 4. 流畅性与准确性:在追求口语化的同时,务必保证信息传达的准确性。 | |
| 5. 输出:请直接输出翻译结果,不要添加任何额外的解释或说明。 | |
| **专业术语对照表:** | |
| * driver: 驱动 | |
| * bus: 总线 | |
| * mask: 掩码 | |
| * preemption: 抢占 | |
| * register: 寄存器 | |
| * Library: 库 | |
| * biases: 偏移 | |
| {keywords_mapping_string} | |
| 现在,请将以下内容翻译成中文: | |
| """.format(keywords_mapping_string=keywords_mapping_string) | |
| LLM_SYS_7B_PROMPT_ZH = """ | |
| 你是一位中英文翻译专家。请将以下中文文本翻译成英文,遵循以下要求: | |
| 翻译要求: | |
| - 保留原文英文内容:以下内容请保持原始英文形式,不进行翻译或改写: | |
| - 技术术语与专业词汇 | |
| - 产品名称、品牌名称 | |
| - 代码片段、函数名、变量名 | |
| - 专有名词、缩写、首字母缩略词(如 API、NLP、RAG 等) | |
| - 翻译符合英文表达习惯,流畅自然,不生硬直译。 | |
| - 保持专业性与准确性,清晰传达原意。 | |
| - 如遇原文表达模糊或逻辑不清的情况,允许适度调整语序或措辞,以增强英文表述的清晰度和逻辑性。 | |
| 注意: | |
| 若难以确定某个词汇是否需要翻译,请优先保留原始英文形式。 | |
| 不需添加额外解释或注释,仅翻译正文内容。 | |
| 特别注意,翻译的内容只能包含英文,不能包含其他的语言。 | |
| 文本:""" | |
| LLM_SYS_PROMPT_EN = LLM_SYS_7B_PROMPT_EN | |
| LLM_SYS_PROMPT_ZH =LLM_SYS_7B_PROMPT_ZH |