Instructions to use JEJUMA/JEJUMA-002-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use JEJUMA/JEJUMA-002-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="JEJUMA/JEJUMA-002-GGUF", filename="JEJUMA-002-Q2_K.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 JEJUMA/JEJUMA-002-GGUF 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 JEJUMA/JEJUMA-002-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JEJUMA/JEJUMA-002-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf JEJUMA/JEJUMA-002-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JEJUMA/JEJUMA-002-GGUF:Q4_K_M
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 JEJUMA/JEJUMA-002-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf JEJUMA/JEJUMA-002-GGUF:Q4_K_M
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 JEJUMA/JEJUMA-002-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf JEJUMA/JEJUMA-002-GGUF:Q4_K_M
Use Docker
docker model run hf.co/JEJUMA/JEJUMA-002-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use JEJUMA/JEJUMA-002-GGUF with Ollama:
ollama run hf.co/JEJUMA/JEJUMA-002-GGUF:Q4_K_M
- Unsloth Studio
How to use JEJUMA/JEJUMA-002-GGUF 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 JEJUMA/JEJUMA-002-GGUF 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 JEJUMA/JEJUMA-002-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for JEJUMA/JEJUMA-002-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use JEJUMA/JEJUMA-002-GGUF with Docker Model Runner:
docker model run hf.co/JEJUMA/JEJUMA-002-GGUF:Q4_K_M
- Lemonade
How to use JEJUMA/JEJUMA-002-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull JEJUMA/JEJUMA-002-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.JEJUMA-002-GGUF-Q4_K_M
List all available models
lemonade list
JEJUMA-002-GGUF
- Original Repo: JEJUMA-002
- Official Quantization version of JEJUMA-002
- JEJUMA-002์ ๊ณต์ ์์ํ ๋ชจ๋ธ์ ๋๋ค.
Prompt(LM Studio)
<|start_header_id|>system<|end_header_id|>
{System}
<|eot_id|><|start_header_id|>user<|end_header_id|>
{User}
<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{Assistant}
- Ollama ์ฌ์ฉ์, Modelfile์ ์ฐธ๊ณ ํด์ฃผ์ธ์.
How to use
1. ๋ฒ์ญ (๋ฐฉ์ธ(์ฌํฌ๋ฆฌ) -> ํ์ค์ด)
- ์ง์ญ: jeju(์ ์ฃผ), chungcheong(์ถฉ์ฒญ), gangwon(๊ฐ์), gyeongsang(๊ฒฝ์), or jeonla(์ ๋ผ)
# Format
Convert the following sentence or word which is {์ง์ญ}'s dialect to standard Korean: {๋ฒ์ญํ ์ฌํฌ๋ฆฌ}
# Example
Convert the following sentence or word which is jeju's dialect to standard Korean: ํ์์ฃผํฌ๋ค
# ๋งค์ฐ ํฝ๋๋ค.
2. ๋ฒ์ญ (ํ์ค์ด -> ๋ฐฉ์ธ(์ฌํฌ๋ฆฌ))
- ์ง์ญ: jeju(์ ์ฃผ), chungcheong(์ถฉ์ฒญ), gangwon(๊ฐ์), gyeongsang(๊ฒฝ์), or jeonla(์ ๋ผ)
# Format
Convert the following sentence or word which is standard Korean to {region}'s dialect: {๋ฒ์ญํ ์ฌํฌ๋ฆฌ}
# Example
Convert the following sentence or word which is standard Korean to jeju's dialect: ๊ทค๋๋ฌด ์ฐพ์์๋ผ
# ๋ฏธ๊นก๋ญ ์ด์์ค๋ผ
3. ํ์ง
# Format
Detect the following sentence or word is standard, jeju, chungcheong, gangwon, gyeongsang, or jeonla's dialect: {๋ฒ์ญํ ์ฌํฌ๋ฆฌ}
# Example
Detect the following sentence or word is standard, jeju, chungcheong, gangwon, gyeongsang, or jeonla's dialect: ๋ฏธ๊นก๋ญ ์ด์์ค๋ผ
# jeju
4. ํ์ง ํ ๋ฒ์ญ
# Format
Detect the following sentence or word is which dialect and convert the following sentence or word to standard Korean: {๋ฒ์ญํ ์ฌํฌ๋ฆฌ}
# Example
Detect the following sentence or word is which dialect and convert the following sentence or word to standard Korean: ๋ฏธ๊นก๋ญ ์ด์์ค๋ผ
# (jeju->standard) ๊ทค๋๋ฌด ์ฐพ์์๋ผ
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