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minkdank
/
LLAMA-JSON-data-extration

Safetensors
GGUF
llama
llama.cpp
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use minkdank/LLAMA-JSON-data-extration 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 minkdank/LLAMA-JSON-data-extration 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 minkdank/LLAMA-JSON-data-extration:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf minkdank/LLAMA-JSON-data-extration:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf minkdank/LLAMA-JSON-data-extration:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf minkdank/LLAMA-JSON-data-extration:Q4_K_M
    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 minkdank/LLAMA-JSON-data-extration:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf minkdank/LLAMA-JSON-data-extration:Q4_K_M
    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 minkdank/LLAMA-JSON-data-extration:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf minkdank/LLAMA-JSON-data-extration:Q4_K_M
    Use Docker
    docker model run hf.co/minkdank/LLAMA-JSON-data-extration:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use minkdank/LLAMA-JSON-data-extration with Ollama:

    ollama run hf.co/minkdank/LLAMA-JSON-data-extration:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use minkdank/LLAMA-JSON-data-extration with Docker Model Runner:

    docker model run hf.co/minkdank/LLAMA-JSON-data-extration:Q4_K_M
  • Lemonade

    How to use minkdank/LLAMA-JSON-data-extration with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull minkdank/LLAMA-JSON-data-extration:Q4_K_M
    Run and chat with the model
    lemonade run user.LLAMA-JSON-data-extration-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
LLAMA-JSON-data-extration
17.4 GB
Ctrl+K
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  • 1 contributor
History: 30 commits
minkdank's picture
minkdank
Add README
19d8cf5 verified 11 months ago
  • .gitattributes
    1.96 kB
    Trained with Unsloth 11 months ago
  • Llama-3.2-3B-Instruct.Q8_0.gguf
    3.42 GB
    xet
    Trained with Unsloth 11 months ago
  • Llama-3.2-3B.Q8_0.gguf
    3.42 GB
    xet
    Trained with Unsloth 11 months ago
  • Modelfile
    1.92 kB
    Trained with Unsloth - Ollama Modelfile 11 months ago
  • README.md
    458 Bytes
    Add README 11 months ago
  • adapter_config.json
    1.09 kB
    Upload model trained with Unsloth 12 months ago
  • adapter_model.safetensors
    97.3 MB
    xet
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  • chat_template.jinja
    3.83 kB
    Upload model trained with Unsloth 12 months ago
  • config.json
    924 Bytes
    Trained with Unsloth - config 11 months ago
  • gemma-3-4b-it.BF16-mmproj.gguf
    851 MB
    xet
    Trained with Unsloth 11 months ago
  • gemma-3-4b-it.Q8_0.gguf
    4.13 GB
    xet
    Trained with Unsloth 11 months ago
  • llama-3.2-3b-instruct.Q4_K_M.gguf
    2.02 GB
    xet
    Trained with Unsloth 12 months ago
  • llama-3.2-3b-instruct.Q8_0.gguf
    3.42 GB
    xet
    Trained with Unsloth 11 months ago
  • special_tokens_map.json
    454 Bytes
    Upload model trained with Unsloth 12 months ago
  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.6 kB
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