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StellaYoon
/
data-sql-7b-oracle-postgresql-v2

Transformers
Safetensors
GGUF
Generated from Trainer
sft
trl
conversational
Model card Files Files and versions
xet
Community

Instructions to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("StellaYoon/data-sql-7b-oracle-postgresql-v2", dtype="auto")
  • llama-cpp-python

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="StellaYoon/data-sql-7b-oracle-postgresql-v2",
    	filename="data-sql-7b-oracle-postgresql-v2-Q4_K_M.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 StellaYoon/data-sql-7b-oracle-postgresql-v2 with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf StellaYoon/data-sql-7b-oracle-postgresql-v2: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 StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf StellaYoon/data-sql-7b-oracle-postgresql-v2: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 StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    Use Docker
    docker model run hf.co/StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with Ollama:

    ollama run hf.co/StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
  • Unsloth Studio new

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 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 StellaYoon/data-sql-7b-oracle-postgresql-v2 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 StellaYoon/data-sql-7b-oracle-postgresql-v2 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for StellaYoon/data-sql-7b-oracle-postgresql-v2 to start chatting
  • Pi new

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama-server -hf StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    Configure the model in Pi
    # Install Pi:
    npm install -g @mariozechner/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "data-sql-7b-oracle-postgresql-v2"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with Docker Model Runner:

    docker model run hf.co/StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
  • Lemonade

    How to use StellaYoon/data-sql-7b-oracle-postgresql-v2 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull StellaYoon/data-sql-7b-oracle-postgresql-v2:Q4_K_M
    Run and chat with the model
    lemonade run user.data-sql-7b-oracle-postgresql-v2-Q4_K_M
    List all available models
    lemonade list
data-sql-7b-oracle-postgresql-v2
10.3 GB
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  • 1 contributor
History: 8 commits
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    4.71 kB
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  • training_args.bin
    6.23 kB
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  • vocab.json
    2.78 MB
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