Instructions to use xtuner/llava-phi-3-mini-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use xtuner/llava-phi-3-mini-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="xtuner/llava-phi-3-mini-gguf", filename="llava-phi-3-mini-f16.gguf", )
llm.create_chat_completion( messages = "\"cats.jpg\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use xtuner/llava-phi-3-mini-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf xtuner/llava-phi-3-mini-gguf:F16 # Run inference directly in the terminal: llama-cli -hf xtuner/llava-phi-3-mini-gguf:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf xtuner/llava-phi-3-mini-gguf:F16 # Run inference directly in the terminal: llama-cli -hf xtuner/llava-phi-3-mini-gguf:F16
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 xtuner/llava-phi-3-mini-gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf xtuner/llava-phi-3-mini-gguf:F16
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 xtuner/llava-phi-3-mini-gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf xtuner/llava-phi-3-mini-gguf:F16
Use Docker
docker model run hf.co/xtuner/llava-phi-3-mini-gguf:F16
- LM Studio
- Jan
- Ollama
How to use xtuner/llava-phi-3-mini-gguf with Ollama:
ollama run hf.co/xtuner/llava-phi-3-mini-gguf:F16
- Unsloth Studio new
How to use xtuner/llava-phi-3-mini-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 xtuner/llava-phi-3-mini-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 xtuner/llava-phi-3-mini-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for xtuner/llava-phi-3-mini-gguf to start chatting
- Docker Model Runner
How to use xtuner/llava-phi-3-mini-gguf with Docker Model Runner:
docker model run hf.co/xtuner/llava-phi-3-mini-gguf:F16
- Lemonade
How to use xtuner/llava-phi-3-mini-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull xtuner/llava-phi-3-mini-gguf:F16
Run and chat with the model
lemonade run user.llava-phi-3-mini-gguf-F16
List all available models
lemonade list
| FROM ./llava-phi-3-mini-int4.gguf | |
| FROM ./llava-phi-3-mini-mmproj-f16.gguf | |
| TEMPLATE """{{ if .System }}<|system|> | |
| {{ .System }}<|end|> | |
| {{ end }}{{ if .Prompt }}<|user|> | |
| {{ .Prompt }}<|end|> | |
| {{ end }}<|assistant|> | |
| {{ .Response }}<|end|> | |
| """ | |
| PARAMETER stop "<|user|>" | |
| PARAMETER stop "<|assistant|>" | |
| PARAMETER stop "<|system|>" | |
| PARAMETER stop "<|end|>" | |
| PARAMETER stop "<|endoftext|>" | |
| PARAMETER num_keep 4 | |
| PARAMETER num_ctx 4096 |