Instructions to use zhuipiaochen/LLM 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 zhuipiaochen/LLM 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 zhuipiaochen/LLM:Q4_K_M # Run inference directly in the terminal: llama cli -hf zhuipiaochen/LLM:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf zhuipiaochen/LLM:Q4_K_M # Run inference directly in the terminal: llama cli -hf zhuipiaochen/LLM: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 zhuipiaochen/LLM:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf zhuipiaochen/LLM: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 zhuipiaochen/LLM:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf zhuipiaochen/LLM:Q4_K_M
Use Docker
docker model run hf.co/zhuipiaochen/LLM:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use zhuipiaochen/LLM with Ollama:
ollama run hf.co/zhuipiaochen/LLM:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use zhuipiaochen/LLM with Docker Model Runner:
docker model run hf.co/zhuipiaochen/LLM:Q4_K_M
- Lemonade
How to use zhuipiaochen/LLM with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull zhuipiaochen/LLM:Q4_K_M
Run and chat with the model
lemonade run user.LLM-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download gemma-2b.Q8_0.gguf from zhuipiaochen/LLM: direct link, hf CLI and curl.
- Browser
- Download file 2.67 GB
-
https://huggingface.co/zhuipiaochen/LLM/resolve/main/gemma-2b.Q8_0.gguf
- Command line
-
hf download hf://zhuipiaochen/LLM/gemma-2b.Q8_0.gguf
-
curl -L -o gemma-2b.Q8_0.gguf https://huggingface.co/zhuipiaochen/LLM/resolve/main/gemma-2b.Q8_0.gguf
2.67 GB
- Xet hash:
- ab62d319257648d81de66312870af73b78a3a90e05ef29d60678e7fd18858950
- Size of remote file:
- 2.67 GB
- SHA256:
- f62190f72ea2d16d5d140bb7b143ec82b9f5465034317e0b05f538bc232c9c62
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