Instructions to use jjinkoo/test_gguf081203 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jjinkoo/test_gguf081203 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jjinkoo/test_gguf081203", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use jjinkoo/test_gguf081203 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 jjinkoo/test_gguf081203:Q8_0 # Run inference directly in the terminal: llama cli -hf jjinkoo/test_gguf081203:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf jjinkoo/test_gguf081203:Q8_0 # Run inference directly in the terminal: llama cli -hf jjinkoo/test_gguf081203:Q8_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 jjinkoo/test_gguf081203:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf jjinkoo/test_gguf081203:Q8_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 jjinkoo/test_gguf081203:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf jjinkoo/test_gguf081203:Q8_0
Use Docker
docker model run hf.co/jjinkoo/test_gguf081203:Q8_0
- LM Studio
- Jan
- Ollama
How to use jjinkoo/test_gguf081203 with Ollama:
ollama run hf.co/jjinkoo/test_gguf081203:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use jjinkoo/test_gguf081203 with Docker Model Runner:
docker model run hf.co/jjinkoo/test_gguf081203:Q8_0
- Lemonade
How to use jjinkoo/test_gguf081203 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jjinkoo/test_gguf081203:Q8_0
Run and chat with the model
lemonade run user.test_gguf081203-Q8_0
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 1cd42d3353b2c88cac661515119a01ea2473a89f749c2b1da19e5c9488222090
- Size of remote file:
- 168 MB
- SHA256:
- f31e078f663dd0eb5fb3f7189102302af45935256c7a12b4469d5d1f58618814
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