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Descant
/
SQL_Gen

Transformers
Safetensors
GGUF
English
text-generation-inference
unsloth
gemma3
conversational
Model card Files Files and versions
xet
Community

Instructions to use Descant/SQL_Gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Descant/SQL_Gen with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Descant/SQL_Gen", dtype="auto")
  • llama-cpp-python

    How to use Descant/SQL_Gen with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Descant/SQL_Gen",
    	filename="gemma-3-full-finetune.BF16.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use Descant/SQL_Gen with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Descant/SQL_Gen:BF16
    # Run inference directly in the terminal:
    llama-cli -hf Descant/SQL_Gen:BF16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Descant/SQL_Gen:BF16
    # Run inference directly in the terminal:
    llama-cli -hf Descant/SQL_Gen:BF16
    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 Descant/SQL_Gen:BF16
    # Run inference directly in the terminal:
    ./llama-cli -hf Descant/SQL_Gen:BF16
    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 Descant/SQL_Gen:BF16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Descant/SQL_Gen:BF16
    Use Docker
    docker model run hf.co/Descant/SQL_Gen:BF16
  • LM Studio
  • Jan
  • Ollama

    How to use Descant/SQL_Gen with Ollama:

    ollama run hf.co/Descant/SQL_Gen:BF16
  • Unsloth Studio new

    How to use Descant/SQL_Gen with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Descant/SQL_Gen to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Descant/SQL_Gen to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Descant/SQL_Gen to start chatting
  • Docker Model Runner

    How to use Descant/SQL_Gen with Docker Model Runner:

    docker model run hf.co/Descant/SQL_Gen:BF16
  • Lemonade

    How to use Descant/SQL_Gen with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Descant/SQL_Gen:BF16
    Run and chat with the model
    lemonade run user.SQL_Gen-BF16
    List all available models
    lemonade list
SQL_Gen
8.05 GB
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  • 1 contributor
History: 17 commits
Descant's picture
Descant
Update README.md
4505a8a verified about 1 year ago
  • .gitattributes
    1.7 kB
    Upload gemma-3-full-finetune.BF16.gguf about 1 year ago
  • README.md
    660 Bytes
    Update README.md about 1 year ago
  • adapter_config.json
    1.1 kB
    Upload model trained with Unsloth about 1 year ago
  • adapter_model.safetensors
    238 MB
    xet
    Upload model trained with Unsloth about 1 year ago
  • added_tokens.json
    35 Bytes
    Upload model trained with Unsloth about 1 year ago
  • chat_template.json
    1.62 kB
    Upload model trained with Unsloth about 1 year ago
  • gemma-3-full-finetune.BF16.gguf
    7.77 GB
    xet
    Upload gemma-3-full-finetune.BF16.gguf about 1 year ago
  • preprocessor_config.json
    570 Bytes
    Upload model trained with Unsloth about 1 year ago
  • processor_config.json
    70 Bytes
    Upload model trained with Unsloth about 1 year ago
  • special_tokens_map.json
    670 Bytes
    Upload model trained with Unsloth about 1 year ago
  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    1.16 MB
    Upload model trained with Unsloth about 1 year ago