Instructions to use diskrot/YuLan-Mini-GGUF-diskrot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use diskrot/YuLan-Mini-GGUF-diskrot 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 diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M # Run inference directly in the terminal: llama cli -hf diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M # Run inference directly in the terminal: llama cli -hf diskrot/YuLan-Mini-GGUF-diskrot: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 diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf diskrot/YuLan-Mini-GGUF-diskrot: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 diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
Use Docker
docker model run hf.co/diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use diskrot/YuLan-Mini-GGUF-diskrot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "diskrot/YuLan-Mini-GGUF-diskrot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "diskrot/YuLan-Mini-GGUF-diskrot", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
- Ollama
How to use diskrot/YuLan-Mini-GGUF-diskrot with Ollama:
ollama run hf.co/diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use diskrot/YuLan-Mini-GGUF-diskrot with Docker Model Runner:
docker model run hf.co/diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
- Lemonade
How to use diskrot/YuLan-Mini-GGUF-diskrot with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull diskrot/YuLan-Mini-GGUF-diskrot:Q4_K_M
Run and chat with the model
lemonade run user.YuLan-Mini-GGUF-diskrot-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download YuLan-Mini-Q5_K_S.gguf from diskrot/YuLan-Mini-GGUF-diskrot: direct link, hf CLI and curl.
- Browser
- Download file 1.88 GB
-
https://huggingface.co/diskrot/YuLan-Mini-GGUF-diskrot/resolve/main/YuLan-Mini-Q5_K_S.gguf
- Command line
-
hf download hf://diskrot/YuLan-Mini-GGUF-diskrot/YuLan-Mini-Q5_K_S.gguf
-
curl -L -o YuLan-Mini-Q5_K_S.gguf https://huggingface.co/diskrot/YuLan-Mini-GGUF-diskrot/resolve/main/YuLan-Mini-Q5_K_S.gguf
1.88 GB
- Xet hash:
- e89cf88475d95ba43cc9b61fcf28044b70bb5bce930507bc0100bb7a41d7d91c
- Size of remote file:
- 1.88 GB
- SHA256:
- 2b498660b2b4eb34262334ee8861caa6e55a9197d3f41ce7942056478540367f
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