Instructions to use nkasmanoff/picorder-moondream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nkasmanoff/picorder-moondream with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="nkasmanoff/picorder-moondream",
	filename="picorder-mmproj-f16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use nkasmanoff/picorder-moondream with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf nkasmanoff/picorder-moondream:F16
# Run inference directly in the terminal:
llama-cli -hf nkasmanoff/picorder-moondream:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf nkasmanoff/picorder-moondream:F16
# Run inference directly in the terminal:
llama-cli -hf nkasmanoff/picorder-moondream: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 nkasmanoff/picorder-moondream:F16
# Run inference directly in the terminal:
./llama-cli -hf nkasmanoff/picorder-moondream: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 nkasmanoff/picorder-moondream:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nkasmanoff/picorder-moondream:F16

Use Docker

docker model run hf.co/nkasmanoff/picorder-moondream:F16

LM Studio
Jan
Ollama
How to use nkasmanoff/picorder-moondream with Ollama:
```
ollama run hf.co/nkasmanoff/picorder-moondream:F16
```

Unsloth Studio new

How to use nkasmanoff/picorder-moondream 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 nkasmanoff/picorder-moondream 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 nkasmanoff/picorder-moondream to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nkasmanoff/picorder-moondream to start chatting

Docker Model Runner
How to use nkasmanoff/picorder-moondream with Docker Model Runner:
```
docker model run hf.co/nkasmanoff/picorder-moondream:F16
```

Lemonade

How to use nkasmanoff/picorder-moondream with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull nkasmanoff/picorder-moondream:F16

Run and chat with the model

lemonade run user.picorder-moondream-F16

List all available models

lemonade list

Fine-tune of https://huggingface.co/vikhyatk/moondream2 on a subset of the Cauldron, designed to improve visual question answering and reading of text off of natural images.

This is a WIP, and the model versions available may change with commits. Still figuring out what the best subset is to make this as useful as possible for real world scenarios.

This small model is able to be hosted on smaller hardware, such as a Raspberry Pi.

More context on the model training can be found on the WandB logs and Git repo.

https://wandb.ai/noahpunintended/moondream-ft-picorder?nw=nwusernoahpunintended

https://github.com/nkasmanoff/pi-card

Downloads last month: 112

GGUF

Model size

1B params

Architecture

phi2

Hardware compatibility

16-bit

Inference Providers NEW

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nkasmanoff
/

picorder-moondream

Dataset used to train nkasmanoff/picorder-moondream