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astralhf
/
astral-drone-models

ONNX
GGUF
conversational
Model card Files Files and versions
xet
Community

Instructions to use astralhf/astral-drone-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use astralhf/astral-drone-models with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="astralhf/astral-drone-models",
    	filename="vlm_lora_v1_mmproj.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use astralhf/astral-drone-models 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 astralhf/astral-drone-models
    # Run inference directly in the terminal:
    llama cli -hf astralhf/astral-drone-models
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf astralhf/astral-drone-models
    # Run inference directly in the terminal:
    llama cli -hf astralhf/astral-drone-models
    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 astralhf/astral-drone-models
    # Run inference directly in the terminal:
    ./llama-cli -hf astralhf/astral-drone-models
    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 astralhf/astral-drone-models
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf astralhf/astral-drone-models
    Use Docker
    docker model run hf.co/astralhf/astral-drone-models
  • LM Studio
  • Jan
  • Ollama

    How to use astralhf/astral-drone-models with Ollama:

    ollama run hf.co/astralhf/astral-drone-models
  • Unsloth Studio

    How to use astralhf/astral-drone-models 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 astralhf/astral-drone-models 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 astralhf/astral-drone-models to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for astralhf/astral-drone-models to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use astralhf/astral-drone-models with Docker Model Runner:

    docker model run hf.co/astralhf/astral-drone-models
  • Lemonade

    How to use astralhf/astral-drone-models with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull astralhf/astral-drone-models
    Run and chat with the model
    lemonade run user.astral-drone-models-{{QUANT_TAG}}
    List all available models
    lemonade list
astral-drone-models
3.28 GB
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  • 1 contributor
History: 9 commits
yusuf-astral's picture
yusuf-astral
Upload vlm_lora_v1_mmproj.gguf with huggingface_hub
1dc33b8 verified 21 days ago
  • .gitattributes
    1.69 kB
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  • README.md
    5.12 kB
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  • depth_v1.onnx
    1.67 MB
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  • policy_v1.onnx
    15.5 kB
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  • policy_v1.onnx.data

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    108 kB
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  • policy_v1_state_norm.npy
    224 Bytes
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  • vlm_lora_v1_mmproj.gguf
    1.34 GB
    xet
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  • vlm_lora_v1_q4km.gguf
    1.93 GB
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  • yolov8n_domain_v3.onnx
    12.3 MB
    xet
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