Instructions to use North-ML1/Aurora-One-Main 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/Aurora-One-Main 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/Aurora-One-Main:F16
# Run inference directly in the terminal:
llama cli -hf North-ML1/Aurora-One-Main:F16

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/North-ML1/Aurora-One-Main:F16

LM Studio
Jan

vLLM

How to use North-ML1/Aurora-One-Main with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "North-ML1/Aurora-One-Main"
# 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/Aurora-One-Main",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/North-ML1/Aurora-One-Main:F16

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

Lemonade

How to use North-ML1/Aurora-One-Main with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull North-ML1/Aurora-One-Main:F16

Run and chat with the model

lemonade run user.Aurora-One-Main-F16

List all available models

lemonade list

Atomic Chat

arthu1 commited on Jul 9

Commit

a1dc954

verified ·

1 Parent(s): c04b9d3

Update README.md

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@@ -10,6 +10,110 @@ tags:
 - chatml
 - causal-lm
 - aurora-one
 ---
 # Aurora One Main

 - chatml
 - causal-lm
 - aurora-one
+- aurora-one
+- aurora-ai
+- aurora-model
+- aurora-llm
+- north-ml
+- northml
+- language-model
+- large-language-model
+- llm
+- ai-model
+- chat-model
+- assistant-model
+- conversational-ai
+- text-generation
+- generative-ai
+- openai-compatible
+- api-compatible
+- custom-llm
+- proprietary-model
+- research-model
+- experimental-ai
+- developer-ai
+- coding-assistant
+- code-generation
+- reasoning-model
+- instruction-following
+- chat-completion
+- completion-model
+- transformer
+- neural-network
+- machine-learning
+- deep-learning
+- nlp
+- natural-language-processing
+- text-ai
+- ai-assistant
+- smart-assistant
+- question-answering
+- qa-model
+- knowledge-model
+- prompting
+- prompt-engineering
+- system-prompt
+- developer-tools
+- devtools
+- ai-runtime
+- model-runtime
+- inference-api
+- fast-inference
+- low-latency
+- api-endpoint
+- cloud-ai
+- hosted-model
+- model-serving
+- ml-serving
+- inference-server
+- custom-api
+- north-api
+- aurora-api
+- aurora-one-pro
+- aurora-one-mini
+- aurora-family
+- foundation-model
+- small-language-model
+- slm
+- compact-llm
+- efficient-ai
+- lightweight-model
+- edge-ai
+- local-ai
+- server-ai
+- gpu-inference
+- cuda
+- benchmarking
+- evals
+- model-evaluation
+- accuracy-testing
+- gsm8k
+- gpqa
+- swe-bench
+- coding-benchmark
+- math-reasoning
+- logic-reasoning
+- instruction-tuned
+- fine-tuned
+- alignment
+- safe-ai
+- helpful-ai
+- agentic-ai
+- tool-use
+- function-calling
+- json-mode
+- structured-output
+- markdown-generation
+- readme-generator
+- chatbot
+- ai-chatbot
+- virtual-assistant
+- automation
+- productivity-ai
+- developer-preview
+- beta-model
+- next-gen-ai
+- future-ai
 ---
 # Aurora One Main