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AM-Core
/
gguf-divzero-loader-crash-poc-clean

GGUF
Model card Files Files and versions
xet
Community

Instructions to use AM-Core/gguf-divzero-loader-crash-poc-clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="AM-Core/gguf-divzero-loader-crash-poc-clean",
    	filename="poc_gguf_divzero_alignment_loader_crash.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    # Run inference directly in the terminal:
    llama-cli -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    # Run inference directly in the terminal:
    llama-cli -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    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 AM-Core/gguf-divzero-loader-crash-poc-clean
    # Run inference directly in the terminal:
    ./llama-cli -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    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 AM-Core/gguf-divzero-loader-crash-poc-clean
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf AM-Core/gguf-divzero-loader-crash-poc-clean
    Use Docker
    docker model run hf.co/AM-Core/gguf-divzero-loader-crash-poc-clean
  • LM Studio
  • Jan
  • Ollama

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean with Ollama:

    ollama run hf.co/AM-Core/gguf-divzero-loader-crash-poc-clean
  • Unsloth Studio new

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean 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 AM-Core/gguf-divzero-loader-crash-poc-clean 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 AM-Core/gguf-divzero-loader-crash-poc-clean to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for AM-Core/gguf-divzero-loader-crash-poc-clean to start chatting
  • Docker Model Runner

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean with Docker Model Runner:

    docker model run hf.co/AM-Core/gguf-divzero-loader-crash-poc-clean
  • Lemonade

    How to use AM-Core/gguf-divzero-loader-crash-poc-clean with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull AM-Core/gguf-divzero-loader-crash-poc-clean
    Run and chat with the model
    lemonade run user.gguf-divzero-loader-crash-poc-clean-{{QUANT_TAG}}
    List all available models
    lemonade list
gguf-divzero-loader-crash-poc-clean
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  • 1 contributor
History: 3 commits
AM-Core's picture
AM-Core
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719276e verified 10 days ago
  • .gitattributes
    1.6 kB
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  • FINAL_HUNTR_GGUF_DIVZERO_REPORT.md
    13.9 kB
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  • README.md
    590 Bytes
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  • VERDICT.json
    14 kB
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  • baseline_run.log
    980 Bytes
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  • poc_gguf_divzero_alignment_loader_crash.gguf
    2.39 MB
    xet
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  • poc_repro_run_1.log
    4.96 kB
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  • poc_repro_run_2.log
    4.96 kB
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  • poc_repro_run_3.log
    4.96 kB
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  • reproduce.sh
    288 Bytes
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