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mekala-2402
/
vakil

Transformers
GGUF
PEFT
merged
adapter
llama-cpp
gguf-my-repo
Model card Files Files and versions
xet
Community

Instructions to use mekala-2402/vakil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mekala-2402/vakil with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mekala-2402/vakil", device_map="auto")
  • PEFT

    How to use mekala-2402/vakil with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use mekala-2402/vakil 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 mekala-2402/vakil:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mekala-2402/vakil:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf mekala-2402/vakil:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mekala-2402/vakil: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 mekala-2402/vakil:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf mekala-2402/vakil: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 mekala-2402/vakil:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf mekala-2402/vakil:Q4_K_M
    Use Docker
    docker model run hf.co/mekala-2402/vakil:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use mekala-2402/vakil with Ollama:

    ollama run hf.co/mekala-2402/vakil:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use mekala-2402/vakil with Docker Model Runner:

    docker model run hf.co/mekala-2402/vakil:Q4_K_M
  • Lemonade

    How to use mekala-2402/vakil with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull mekala-2402/vakil:Q4_K_M
    Run and chat with the model
    lemonade run user.vakil-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
vakil
2.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mekala-2402's picture
mekala-2402
Upload Modelfile
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  • .gitattributes
    1.58 kB
    Upload final_model-q4_k_m.gguf with huggingface_hub about 1 year ago
  • Modelfile
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    Upload Modelfile about 1 year ago
  • README.md
    1.76 kB
    Upload README.md with huggingface_hub about 1 year ago
  • final_model-q4_k_m.gguf
    2.02 GB
    xet
    Upload final_model-q4_k_m.gguf with huggingface_hub about 1 year ago