Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

mrcmilo
/
phi3-text2sql-lora

Safetensors
GGUF
English
mistral
llama.cpp
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use mrcmilo/phi3-text2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use mrcmilo/phi3-text2sql-lora with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="mrcmilo/phi3-text2sql-lora",
    	filename="phi-3-mini-4k-instruct.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 mrcmilo/phi3-text2sql-lora with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf mrcmilo/phi3-text2sql-lora:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf mrcmilo/phi3-text2sql-lora:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf mrcmilo/phi3-text2sql-lora:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf mrcmilo/phi3-text2sql-lora: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 mrcmilo/phi3-text2sql-lora:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf mrcmilo/phi3-text2sql-lora: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 mrcmilo/phi3-text2sql-lora:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf mrcmilo/phi3-text2sql-lora:Q4_K_M
    Use Docker
    docker model run hf.co/mrcmilo/phi3-text2sql-lora:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use mrcmilo/phi3-text2sql-lora with Ollama:

    ollama run hf.co/mrcmilo/phi3-text2sql-lora:Q4_K_M
  • Unsloth Studio new

    How to use mrcmilo/phi3-text2sql-lora 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 mrcmilo/phi3-text2sql-lora 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 mrcmilo/phi3-text2sql-lora to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for mrcmilo/phi3-text2sql-lora to start chatting
  • Docker Model Runner

    How to use mrcmilo/phi3-text2sql-lora with Docker Model Runner:

    docker model run hf.co/mrcmilo/phi3-text2sql-lora:Q4_K_M
  • Lemonade

    How to use mrcmilo/phi3-text2sql-lora with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull mrcmilo/phi3-text2sql-lora:Q4_K_M
    Run and chat with the model
    lemonade run user.phi3-text2sql-lora-Q4_K_M
    List all available models
    lemonade list
phi3-text2sql-lora
5.16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
mrcmilo's picture
mrcmilo
Update README: correct Modelfile template and add ollama example
c82b290 verified 5 months ago
  • .gitattributes
    1.66 kB
    Add 5-bit GGUF for improved SQL generation accuracy 5 months ago
  • Modelfile
    331 Bytes
    Add 5-bit GGUF for improved SQL generation accuracy - Ollama Modelfile 5 months ago
  • README.md
    2.28 kB
    Update README: correct Modelfile template and add ollama example 5 months ago
  • adapter_config.json
    1.21 kB
    Initial fine-tuned TEXT2SQL adapter for Phi3 (Trained with Unsloth) 5 months ago
  • adapter_model.safetensors
    120 MB
    xet
    Initial fine-tuned TEXT2SQL adapter for Phi3 (Trained with Unsloth) 5 months ago
  • added_tokens.json
    293 Bytes
    Upload model trained with Unsloth 5 months ago
  • chat_template.jinja
    371 Bytes
    Upload model trained with Unsloth 5 months ago
  • config.json
    753 Bytes
    Add 4-bit GGUF for local use - config 5 months ago
  • phi-3-mini-4k-instruct.Q4_K_M.gguf
    2.32 GB
    xet
    Add 4-bit GGUF for local use 5 months ago
  • phi-3-mini-4k-instruct.Q5_K.gguf
    2.72 GB
    xet
    Add 5-bit GGUF for improved SQL generation accuracy 5 months ago
  • special_tokens_map.json
    572 Bytes
    Upload model trained with Unsloth 5 months ago
  • tokenizer.json
    3.62 MB
    Upload model trained with Unsloth 5 months ago
  • tokenizer.model
    500 kB
    xet
    Upload model trained with Unsloth 5 months ago
  • tokenizer_config.json
    2.94 kB
    Upload model trained with Unsloth 5 months ago