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

daihui.zhang commited on Apr 27, 2025

Commit

b37f1c3

1 Parent(s): ad6ae02

update prompts and words

Browse files

Files changed (5) hide show

config/hotwords.json +16 -1
config/hotwords.txt +3 -0
config/keywords.txt +5 -1
config/prompt.py +19 -12
config/settings.py +2 -2

config/hotwords.json CHANGED Viewed

@@ -5,8 +5,23 @@
     "GO SAME": "GOSIM",
     "go same": "GOSIM",
     "GoSync": "GOSIM",
     "CSN": "CSDN",
     "CSDF": "CSDN",
     "CSTN": "CSDN",
-    "OpenAZI": "Open AGI"
 }

     "GO SAME": "GOSIM",
     "go same": "GOSIM",
     "GoSync": "GOSIM",
+    "Go Son": "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",
+    "rug": "RAG",
+    "defive": "Dify",
+    "define": "Dify",
+    "open minus":"open manus"
 }

config/hotwords.txt CHANGED Viewed

@@ -32,3 +32,6 @@ MoXIN
 Function
 Func
 Lava

 Function
 Func
 Lava
+C++
+阿里
+pipeline

config/keywords.txt CHANGED Viewed

@@ -1,4 +1,8 @@
 OpenAGI
 GOSIM
 Rust
-LLaMA Factory

 OpenAGI
 GOSIM
 Rust
+LLaMA Factory
+OPENGL
+GPU
+Web3
+DeepSeek

config/prompt.py CHANGED Viewed

@@ -34,16 +34,23 @@ LLM_SYS_7B_PROMPT_EN = """
 """.format(keywords_mapping_string=keywords_mapping_string)
 LLM_SYS_7B_PROMPT_ZH = """
-你是一个中英文翻译专家，请将以下文本从中文翻译成英文，但保留所有英文专业术语、产品名称、代码片段和专有名词的原始英文形式。遇到英文专业术语或需要保留的内容时，请使用原始英文表达，不要翻译。
-翻译规则：
-1. 保留以下内容的原始英文形式，不翻译：
-   - 技术术语和专业词汇
-   - 产品名称、品牌名称
-   - 代码片段、函数名、变量名
-   - 专有名词、缩写和首字母缩略词
-2. 翻译其余内容时，请确保：
-   - 保持原文的段落结构
-   - 翻译内容符合中文表达习惯
-   - 保持专业性和准确性
-如遇到难以判断是否需要保留英文的情况，请优先保留原始英文形式。
 文本："""

 """.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。
 文本："""
+LLM_SYS_PROMPT_EN = LLM_SYS_7B_PROMPT_EN
+LLM_SYS_PROMPT_ZH =LLM_SYS_7B_PROMPT_ZH

config/settings.py CHANGED Viewed

@@ -60,8 +60,8 @@ WHISPER_MODEL_EN = 'large-v3-turbo-q5_0'
 WHISPER_MODEL_ZH = 'large-v3-turbo-q5_0'
 # LLM
 LLM_MODEL_PATH = (MODEL_DIR / "qwen2.5-1.5b-instruct-q5_0.gguf").as_posix()
-# LLM_LARGE_MODEL_PATH = (MODEL_DIR / "qwen2.5-1.5b-instruct-q5_0.gguf").as_posix()
-LLM_LARGE_MODEL_PATH = (MODEL_DIR / "qwen2.5-7b-instruct-q5_0-00001-of-00002.gguf").as_posix()
 # VAD
 VAD_MODEL_PATH = (MODEL_DIR / "silero-vad" / "silero_vad.onnx").as_posix()

 WHISPER_MODEL_ZH = 'large-v3-turbo-q5_0'
 # LLM
 LLM_MODEL_PATH = (MODEL_DIR / "qwen2.5-1.5b-instruct-q5_0.gguf").as_posix()
+LLM_LARGE_MODEL_PATH = (MODEL_DIR / "qwen2.5-1.5b-instruct-q5_0.gguf").as_posix()
+# LLM_LARGE_MODEL_PATH = (MODEL_DIR / "qwen2.5-7b-instruct-q5_0-00001-of-00002.gguf").as_posix()
 # VAD
 VAD_MODEL_PATH = (MODEL_DIR / "silero-vad" / "silero_vad.onnx").as_posix()