Instructions to use TheBloke/LMCocktail-phi-2-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/LMCocktail-phi-2-v1-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/LMCocktail-phi-2-v1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TheBloke/LMCocktail-phi-2-v1-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 TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheBloke/LMCocktail-phi-2-v1-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 TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheBloke/LMCocktail-phi-2-v1-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 TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf TheBloke/LMCocktail-phi-2-v1-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 TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use TheBloke/LMCocktail-phi-2-v1-GGUF with Ollama:
ollama run hf.co/TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use TheBloke/LMCocktail-phi-2-v1-GGUF with Docker Model Runner:
docker model run hf.co/TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M
- Lemonade
How to use TheBloke/LMCocktail-phi-2-v1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheBloke/LMCocktail-phi-2-v1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.LMCocktail-phi-2-v1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download lmcocktail-phi-2-v1.Q4_K_S.gguf from TheBloke/LMCocktail-phi-2-v1-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 1.62 GB
-
https://huggingface.co/TheBloke/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.Q4_K_S.gguf
- Command line
-
hf download hf://TheBloke/LMCocktail-phi-2-v1-GGUF/lmcocktail-phi-2-v1.Q4_K_S.gguf
-
curl -L -o lmcocktail-phi-2-v1.Q4_K_S.gguf https://huggingface.co/TheBloke/LMCocktail-phi-2-v1-GGUF/resolve/main/lmcocktail-phi-2-v1.Q4_K_S.gguf
1.62 GB
- Xet hash:
- 1772ce21d46ffc2dea369a6f051bac3c4e8a6dfb3346d326fab8fb5a41191ed3
- Size of remote file:
- 1.62 GB
- SHA256:
- 957439102a2ad357c177646fcfd71a94f1b19f51243757225b98057e057ad409
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