Instructions to use moondream/moondream-2b-2025-04-14-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use moondream/moondream-2b-2025-04-14-4bit with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="moondream/moondream-2b-2025-04-14-4bit", filename="moondream2-mmproj-f16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use moondream/moondream-2b-2025-04-14-4bit with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf moondream/moondream-2b-2025-04-14-4bit:F16 # Run inference directly in the terminal: llama-cli -hf moondream/moondream-2b-2025-04-14-4bit:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf moondream/moondream-2b-2025-04-14-4bit:F16 # Run inference directly in the terminal: llama-cli -hf moondream/moondream-2b-2025-04-14-4bit: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 moondream/moondream-2b-2025-04-14-4bit:F16 # Run inference directly in the terminal: ./llama-cli -hf moondream/moondream-2b-2025-04-14-4bit: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 moondream/moondream-2b-2025-04-14-4bit:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf moondream/moondream-2b-2025-04-14-4bit:F16
Use Docker
docker model run hf.co/moondream/moondream-2b-2025-04-14-4bit:F16
- LM Studio
- Jan
- vLLM
How to use moondream/moondream-2b-2025-04-14-4bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "moondream/moondream-2b-2025-04-14-4bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moondream/moondream-2b-2025-04-14-4bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/moondream/moondream-2b-2025-04-14-4bit:F16
- Ollama
How to use moondream/moondream-2b-2025-04-14-4bit with Ollama:
ollama run hf.co/moondream/moondream-2b-2025-04-14-4bit:F16
- Unsloth Studio
How to use moondream/moondream-2b-2025-04-14-4bit 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 moondream/moondream-2b-2025-04-14-4bit 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 moondream/moondream-2b-2025-04-14-4bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for moondream/moondream-2b-2025-04-14-4bit to start chatting
- Atomic Chat new
- Docker Model Runner
How to use moondream/moondream-2b-2025-04-14-4bit with Docker Model Runner:
docker model run hf.co/moondream/moondream-2b-2025-04-14-4bit:F16
- Lemonade
How to use moondream/moondream-2b-2025-04-14-4bit with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull moondream/moondream-2b-2025-04-14-4bit:F16
Run and chat with the model
lemonade run user.moondream-2b-2025-04-14-4bit-F16
List all available models
lemonade list
Repetition Penalty
#4
by cnmoro - opened
While describing images, often (specially with pictures of documents), I get text like this:
The image shows a dental insurance transfer document dated June 15, 2003, at 5:10:35 PM. The document is in Portuguese and is valued at $400.00.
The document is from the institution "X Bank" and is a dental insurance transfer. The document includes the name of the beneficiary, the name of the beneficiary,
the beneficiary identification number, the name of the beneficiary, the name of the beneficiary, the beneficiary identification number, the name of the beneficiary,
the beneficiary identification number of the beneficiary, the beneficiary identification number of the beneficiary, the name of the beneficiary, the identification number
of the beneficiary, the name of the beneficiary, the identification number of the beneficiary of the beneficiary, the name of the beneficiary ... the name of the beneficiary
of the beneficiary of the beneficiary of the beneficiary of the beneficiary, the beneficiary of ... beneficiary of the beneficiary of the beneficiary of the beneficiary of the
beneficiary of the beneficiary, the name of the beneficiary, the name of the beneficiary, the identification number of the beneficiary, the name of the beneficiary, the
identification number of the beneficiary of the beneficiary, the identification number of the beneficiary of the beneficiary of the beneficiary, the name of the beneficiary ...
How can we alleviate this?
There is no "repetition_penalty" parameter available, afaik