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maxwelhelp
/
llama.cpp-DFlash2-pascal6-optimized

GGUF
English
Russian
dflash2
speculative-decoding
llama.cpp
tesla-p40
pascal
Model card Files Files and versions
xet
Community

Instructions to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized 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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized 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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    # Run inference directly in the terminal:
    llama cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    # Run inference directly in the terminal:
    llama cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    # Run inference directly in the terminal:
    ./llama-cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    Use Docker
    docker model run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
  • LM Studio
  • Jan
  • Ollama

    How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Ollama:

    ollama run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
  • Unsloth Desktop
  • Docker Model Runner

    How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Docker Model Runner:

    docker model run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
  • Lemonade

    How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
    Run and chat with the model
    lemonade run user.llama.cpp-DFlash2-pascal6-optimized-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
llama.cpp-DFlash2-pascal6-optimized
1.21 GB
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  • 2 contributors
History: 3 commits
maxwelhelp
Add model card YAML metadata
81e58a0 6 days ago
  • scripts
    DFlash2 q4-mix draft for llama.cpp on Tesla P40 (Pascal) 6 days ago
  • .gitattributes
    1.6 kB
    DFlash2 q4-mix draft for llama.cpp on Tesla P40 (Pascal) 6 days ago
  • DFLASH2_RING_PORT.md
    84.7 kB
    DFlash2 q4-mix draft for llama.cpp on Tesla P40 (Pascal) 6 days ago
  • Qwen3.8-27B-DFlash2-q4mix-self.gguf
    1.21 GB
    xet
    DFlash2 q4-mix draft for llama.cpp on Tesla P40 (Pascal) 6 days ago
  • README.md
    6.13 kB
    Add model card YAML metadata 6 days ago
  • run_best.sh
    1.75 kB
    DFlash2 q4-mix draft for llama.cpp on Tesla P40 (Pascal) 6 days ago