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drusniel
/
Midnight-Miqu-70B-v1.5-GGUF

Transformers
Safetensors
GGUF
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use drusniel/Midnight-Miqu-70B-v1.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use drusniel/Midnight-Miqu-70B-v1.5-GGUF with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("drusniel/Midnight-Miqu-70B-v1.5-GGUF", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use drusniel/Midnight-Miqu-70B-v1.5-GGUF 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 drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf drusniel/Midnight-Miqu-70B-v1.5-GGUF: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 drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf drusniel/Midnight-Miqu-70B-v1.5-GGUF: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 drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use drusniel/Midnight-Miqu-70B-v1.5-GGUF with Ollama:

    ollama run hf.co/drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use drusniel/Midnight-Miqu-70B-v1.5-GGUF with Docker Model Runner:

    docker model run hf.co/drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
  • Lemonade

    How to use drusniel/Midnight-Miqu-70B-v1.5-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull drusniel/Midnight-Miqu-70B-v1.5-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.Midnight-Miqu-70B-v1.5-GGUF-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
Midnight-Miqu-70B-v1.5-GGUF
90.3 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
drusniel's picture
drusniel
Trained with Unsloth
ed60587 verified over 2 years ago
  • .gitattributes
    1.66 kB
    Upload Midnight-Miqu-70B-v1.5_Q5_K_M.gguf over 2 years ago
  • Midnight-Miqu-70B-v1.5_Q4_K_M.gguf
    41.4 GB
    xet
    Upload Midnight-Miqu-70B-v1.5_Q4_K_M.gguf over 2 years ago
  • Midnight-Miqu-70B-v1.5_Q5_K_M.gguf
    48.8 GB
    xet
    Upload Midnight-Miqu-70B-v1.5_Q5_K_M.gguf over 2 years ago
  • README.md
    5.18 kB
    Trained with Unsloth over 2 years ago
  • adapter_config.json
    737 Bytes
    Trained with Unsloth over 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Trained with Unsloth over 2 years ago
  • special_tokens_map.json
    560 Bytes
    Trained with Unsloth over 2 years ago
  • tokenizer.json
    1.96 MB
    Trained with Unsloth over 2 years ago
  • tokenizer.model
    587 kB
    xet
    Trained with Unsloth over 2 years ago
  • tokenizer_config.json
    137 kB
    Trained with Unsloth over 2 years ago