Instructions to use EldanRing/Winnow-E4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use EldanRing/Winnow-E4B 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 EldanRing/Winnow-E4B:BF16
# Run inference directly in the terminal:
llama cli -hf EldanRing/Winnow-E4B:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf EldanRing/Winnow-E4B:BF16
# Run inference directly in the terminal:
llama cli -hf EldanRing/Winnow-E4B:BF16

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 EldanRing/Winnow-E4B:BF16
# Run inference directly in the terminal:
./llama-cli -hf EldanRing/Winnow-E4B:BF16

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 EldanRing/Winnow-E4B:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf EldanRing/Winnow-E4B:BF16

Use Docker

docker model run hf.co/EldanRing/Winnow-E4B:BF16

Llama new
LM Studio
Jan

vLLM

How to use EldanRing/Winnow-E4B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EldanRing/Winnow-E4B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EldanRing/Winnow-E4B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EldanRing/Winnow-E4B:BF16

Ollama
How to use EldanRing/Winnow-E4B with Ollama:
```
ollama run hf.co/EldanRing/Winnow-E4B:BF16
```
Unsloth Desktop
Docker Model Runner
How to use EldanRing/Winnow-E4B with Docker Model Runner:
```
docker model run hf.co/EldanRing/Winnow-E4B:BF16
```

Lemonade

How to use EldanRing/Winnow-E4B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull EldanRing/Winnow-E4B:BF16

Run and chat with the model

lemonade run user.Winnow-E4B-BF16

List all available models

lemonade list

Atomic Chat

Winnow-E4B / gguf /Gemma-4-E4B-IT-Assistant-BF16.gguf

EldanRing

Add verified NVFP4 and matching MTP assistant assets

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