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North-ML1
/
Aurora-One-Mini

Text Generation
Safetensors
GGUF
English
gpt2
aurora
causal-lm
north-ml
small-language-model
Model card Files Files and versions
xet
Community
2

Instructions to use North-ML1/Aurora-One-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use North-ML1/Aurora-One-Mini 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-Mini:F16
    # Run inference directly in the terminal:
    llama cli -hf North-ML1/Aurora-One-Mini: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-Mini:F16
    # Run inference directly in the terminal:
    llama cli -hf North-ML1/Aurora-One-Mini: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-Mini:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf North-ML1/Aurora-One-Mini: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-Mini:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf North-ML1/Aurora-One-Mini:F16
    Use Docker
    docker model run hf.co/North-ML1/Aurora-One-Mini:F16
  • LM Studio
  • Jan
  • vLLM

    How to use North-ML1/Aurora-One-Mini 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-Mini"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "North-ML1/Aurora-One-Mini",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/North-ML1/Aurora-One-Mini:F16
  • Ollama

    How to use North-ML1/Aurora-One-Mini with Ollama:

    ollama run hf.co/North-ML1/Aurora-One-Mini:F16
  • Unsloth Desktop
  • Docker Model Runner

    How to use North-ML1/Aurora-One-Mini with Docker Model Runner:

    docker model run hf.co/North-ML1/Aurora-One-Mini:F16
  • Lemonade

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

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull North-ML1/Aurora-One-Mini:F16
    Run and chat with the model
    lemonade run user.Aurora-One-Mini-F16
    List all available models
    lemonade list
  • Atomic Chat
Aurora-One-Mini
846 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
Banaxi-Tech's picture
Banaxi-Tech
Fix wrong repo link by the AI
9fb76d5 verified 2 months ago
  • .gitattributes
    1.68 kB
    Upload 13 files 3 months ago
  • README.md
    3.71 kB
    Fix wrong repo link by the AI 2 months ago
  • added_tokens.json
    98 Bytes
    Upload 13 files 3 months ago
  • aurora_metadata.json
    205 Bytes
    Upload 13 files 3 months ago
  • aurora_one_mini_deterministic_v2_f16.gguf
    252 MB
    xet
    Upload 13 files 3 months ago
  • aurora_one_mini_deterministic_v2_q4_k_m.gguf
    91.2 MB
    xet
    Upload 13 files 3 months ago
  • config.json
    762 Bytes
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  • generation_config.json
    119 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    498 MB
    xet
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  • special_tokens_map.json
    715 Bytes
    Upload 13 files 3 months ago
  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.26 kB
    Upload 13 files 3 months ago
  • vocab.json
    798 kB
    Upload 13 files 3 months ago