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mradermacher
/
Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF

Transformers
GGUF
English
phi-2
code-generation
math
reasoning
gsm8k
distilled
code
Model card Files Files and versions
xet
Community

Instructions to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-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 mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-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 mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-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 mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-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 mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF with Ollama:

    ollama run hf.co/mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF with Docker Model Runner:

    docker model run hf.co/mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
  • Lemonade

    How to use mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull mradermacher/Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
Qwen2.5-Math-Coder-Distill-Phi-2-4.4K-MixMathCode-GGUF
1.92 kB
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  • 1 contributor
History: 2 commits
mradermacher's picture
mradermacher
uploaded from leia
d2e2289 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    401 Bytes
    uploaded from leia 11 months ago