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Inventors-Hub
/
Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF

Text Generation
Transformers
GGUF
English
llama
behavior-tree
swarm-robotics
xml
lora
self-instruct
control-systems
Model card Files Files and versions
xet
Community

Instructions to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF", dtype="auto")
  • llama-cpp-python

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF",
    	filename="Falcon3-10B-Instruct-BehaviorTree-3-epochs.F16.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    # Run inference directly in the terminal:
    llama-cli -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    # Run inference directly in the terminal:
    llama-cli -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-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 Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-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 Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    Use Docker
    docker model run hf.co/Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
  • LM Studio
  • Jan
  • vLLM

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
  • SGLang

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Ollama

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with Ollama:

    ollama run hf.co/Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
  • Unsloth Studio

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-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 Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-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 Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF to start chatting
  • Docker Model Runner

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with Docker Model Runner:

    docker model run hf.co/Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
  • Lemonade

    How to use Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Inventors-Hub/Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF:F16
    Run and chat with the model
    lemonade run user.Falcon3-10B-Instruct-BehaviorTree-3-epochs-GGUF-F16
    List all available models
    lemonade list

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  • .gitattributes
    1.81 kB
    Rename unsloth.F16.gguf to Falcon3-10B-Instruct-BehaviorTree-3-epochs.F16.gguf 12 months ago
  • Falcon3-10B-Instruct-BehaviorTree-3-epochs.F16.gguf
    20.6 GB
    xet
    Rename unsloth.F16.gguf to Falcon3-10B-Instruct-BehaviorTree-3-epochs.F16.gguf 12 months ago
  • Falcon3-10B-Instruct-BehaviorTree-3-epochs.Q4_K_M.gguf
    6.29 GB
    xet
    Rename unsloth.Q4_K_M.gguf to Falcon3-10B-Instruct-BehaviorTree-3-epochs.Q4_K_M.gguf 12 months ago
  • README.md
    3.91 kB
    Update README.md 12 months ago
  • config.json
    29 Bytes
    (Trained with Unsloth) 12 months ago