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

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

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

yujuanqin commited on Apr 30, 2025

Commit

9e942a1

1 Parent(s): becec65

update prompt for en

Browse files

Files changed (2) hide show

config/keywords.txt +1 -2
config/prompt.py +2 -2

config/keywords.txt CHANGED Viewed

@@ -1,4 +1,3 @@
 OpenAGI
 LLaMA Factory
-OPENGL
-Web3

 OpenAGI
 LLaMA Factory
+OPENGL

config/prompt.py CHANGED Viewed

@@ -19,11 +19,11 @@ keywords_list = [i.strip() for i in (CONFIG_DIR / 'keywords.txt').read_text().sp
 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 会议提供中英/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，可以保留英文原文或提供最贴切的翻译。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。

 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。