Instructions to use openbmb/MiniCPM-V-2_6-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use openbmb/MiniCPM-V-2_6-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="openbmb/MiniCPM-V-2_6-gguf", filename="ggml-model-IQ3_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf openbmb/MiniCPM-V-2_6-gguf:Q4_K_M
Use Docker
docker model run hf.co/openbmb/MiniCPM-V-2_6-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use openbmb/MiniCPM-V-2_6-gguf with Ollama:
ollama run hf.co/openbmb/MiniCPM-V-2_6-gguf:Q4_K_M
- Unsloth Studio
How to use openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-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 openbmb/MiniCPM-V-2_6-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for openbmb/MiniCPM-V-2_6-gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use openbmb/MiniCPM-V-2_6-gguf with Docker Model Runner:
docker model run hf.co/openbmb/MiniCPM-V-2_6-gguf:Q4_K_M
- Lemonade
How to use openbmb/MiniCPM-V-2_6-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull openbmb/MiniCPM-V-2_6-gguf:Q4_K_M
Run and chat with the model
lemonade run user.MiniCPM-V-2_6-gguf-Q4_K_M
List all available models
lemonade list
Can I use it in ollama?
#5
by jian2023 - opened
Can I convert gguf files to ollama?
havent tried this model in particular but open web ui allows model import thats integrated in the UI, but you can try with ollama using the model file method. theres a tutorial here https://github.com/ollama/ollama/blob/main/docs/modelfile.md