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Anbeeld
/
Kimi-K2.5-DFlash-GGUF

Feature Extraction
Transformers
GGUF
Safetensors
qwen3
dflash
speculative-decoding
diffusion
efficiency
flash-decoding
qwen
kimi
diffusion-language-model
text-generation
custom_code
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Anbeeld/Kimi-K2.5-DFlash-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Anbeeld/Kimi-K2.5-DFlash-GGUF", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Anbeeld/Kimi-K2.5-DFlash-GGUF", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Anbeeld/Kimi-K2.5-DFlash-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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    # Run inference directly in the terminal:
    llama cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    # Run inference directly in the terminal:
    llama cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    # Run inference directly in the terminal:
    ./llama-cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    Use Docker
    docker model run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
  • LM Studio
  • Jan
  • Ollama

    How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Ollama:

    ollama run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
  • Unsloth Desktop
  • Docker Model Runner

    How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Docker Model Runner:

    docker model run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
  • Lemonade

    How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
    Run and chat with the model
    lemonade run user.Kimi-K2.5-DFlash-GGUF-Q2_K
    List all available models
    lemonade list
  • Atomic Chat
Kimi-K2.5-DFlash-GGUF
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  • 1 contributor
History: 8 commits
Anbeeld's picture
Anbeeld
Add GGUF quantization
ad3909f verified 1 day ago
  • assets
    Fix README metadata and assets 1 day ago
  • .gitattributes
    1.77 kB
    Add GGUF quantization 1 day ago
  • Kimi-K2.5-DFlash-Q2_K.gguf
    1.28 GB
    xet
    Add GGUF quantization 1 day ago
  • Kimi-K2.5-DFlash-Q3_K_M.gguf
    1.66 GB
    xet
    Add GGUF quantization 1 day ago
  • Kimi-K2.5-DFlash-bf16.gguf
    6.97 GB
    xet
    Add GGUF quantization 1 day ago
  • README.md
    4.25 kB
    Fix README metadata and assets 1 day ago