Instructions to use North-ML1/willow-alpha-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use North-ML1/willow-alpha-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 North-ML1/willow-alpha-gguf:F16
# Run inference directly in the terminal:
llama cli -hf North-ML1/willow-alpha-gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf North-ML1/willow-alpha-gguf:F16
# Run inference directly in the terminal:
llama cli -hf North-ML1/willow-alpha-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 North-ML1/willow-alpha-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf North-ML1/willow-alpha-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 North-ML1/willow-alpha-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf North-ML1/willow-alpha-gguf:F16

Use Docker

docker model run hf.co/North-ML1/willow-alpha-gguf:F16

LM Studio
Jan

vLLM

How to use North-ML1/willow-alpha-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "North-ML1/willow-alpha-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "North-ML1/willow-alpha-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/North-ML1/willow-alpha-gguf:F16

Ollama
How to use North-ML1/willow-alpha-gguf with Ollama:
```
ollama run hf.co/North-ML1/willow-alpha-gguf:F16
```
Unsloth Desktop
Docker Model Runner
How to use North-ML1/willow-alpha-gguf with Docker Model Runner:
```
docker model run hf.co/North-ML1/willow-alpha-gguf:F16
```

Lemonade

How to use North-ML1/willow-alpha-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull North-ML1/willow-alpha-gguf:F16

Run and chat with the model

lemonade run user.willow-alpha-gguf-F16

List all available models

lemonade list

Atomic Chat

Hey do you like this model it was pretrained from scratch

by arthu1 - opened Jun 6

Discussion

arthu1

North ML org Jun 6

@Datdanboi25 @Fishtiks @LH-Tech-AI @wop @11-47 and @Crownelius , do you like the new model?? It's so good in chat and code, especially PyTorch loops!

wop

Jun 6

hey, how do we test the model?

wop

Jun 6

oh i got it , lmstudio works

wop

Jun 6

i like it

arthu1

North ML org Jun 6

ty! :)

Datdanboi25

Jun 6

Oh awesome! Cool to see you training models from scratch.

Keep up the good work!

LH-Tech-AI

Jun 6

lemme see in lm studio. do you have any benchmarks for this?

arthu1

North ML org Jun 6

nah sorry @LH-Tech-AI , it has capped answers only that we trained it on.

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