Instructions to use North-ML1/Wind-Arc-Base-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use North-ML1/Wind-Arc-Base-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="North-ML1/Wind-Arc-Base-GGUF",
	filename="wind-arc-1.5-Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use North-ML1/Wind-Arc-Base-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf North-ML1/Wind-Arc-Base-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf North-ML1/Wind-Arc-Base-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 North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf North-ML1/Wind-Arc-Base-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 North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf North-ML1/Wind-Arc-Base-GGUF:Q4_K_M

Use Docker

docker model run hf.co/North-ML1/Wind-Arc-Base-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use North-ML1/Wind-Arc-Base-GGUF with Ollama:
```
ollama run hf.co/North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
```

Unsloth Studio

How to use North-ML1/Wind-Arc-Base-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 North-ML1/Wind-Arc-Base-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 North-ML1/Wind-Arc-Base-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for North-ML1/Wind-Arc-Base-GGUF to start chatting

Docker Model Runner
How to use North-ML1/Wind-Arc-Base-GGUF with Docker Model Runner:
```
docker model run hf.co/North-ML1/Wind-Arc-Base-GGUF:Q4_K_M
```

Lemonade

How to use North-ML1/Wind-Arc-Base-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull North-ML1/Wind-Arc-Base-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Wind-Arc-Base-GGUF-Q4_K_M

List all available models

lemonade list

Wind Arc 1.5 — Base Variant (GGUF)

⚠️ Discontinued. The Wind series has been sunset. Active development has moved to the Forge model series.

This is the base (pretrained) variant of Wind Arc 1.5 — released as a GGUF for archival and research purposes.

⚠️ Usage Warning

This is a raw base model, not an instruction-tuned assistant.

Do not apply a chat template — it was not trained with one
It will fail to follow instructions in ~9 out of 10 cases
It is suited for text continuation, not Q&A or dialogue

If you need a model that actually answers questions, look at instruction-tuned releases instead.

Intended Use

Remodel it if you want. Failed to send message unordered_map::at: key not found will happen in LM Studio. Use at your own risk.

Model Details

Property	Value
Series	Wind Arc (discontinued)
Variant	Base (no instruction tuning)
Format	GGUF
License	Apache 2.0
Language	English

Instruct variant: Wind Arc 1.5 Preview
Successor series: Forge models (active development)

Downloads last month: 141

GGUF

Model size

0.2B params

Architecture

llama

Hardware compatibility

4-bit

32-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including North-ML1/Wind-Arc-Base-GGUF

Wind Series

Collection

5 items • Updated 1 day ago

North-ML1
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Wind-Arc-Base-GGUF