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GazTrab
/
depression_turtle

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

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

  • Libraries
  • Transformers

    How to use GazTrab/depression_turtle with Transformers:

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

    How to use GazTrab/depression_turtle with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="GazTrab/depression_turtle",
    	filename="depression_turtle-unsloth.Q8_0.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 GazTrab/depression_turtle with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf GazTrab/depression_turtle:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf GazTrab/depression_turtle:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf GazTrab/depression_turtle:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf GazTrab/depression_turtle:Q8_0
    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 GazTrab/depression_turtle:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf GazTrab/depression_turtle:Q8_0
    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 GazTrab/depression_turtle:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf GazTrab/depression_turtle:Q8_0
    Use Docker
    docker model run hf.co/GazTrab/depression_turtle:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use GazTrab/depression_turtle with Ollama:

    ollama run hf.co/GazTrab/depression_turtle:Q8_0
  • Unsloth Studio new

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

    How to use GazTrab/depression_turtle with Docker Model Runner:

    docker model run hf.co/GazTrab/depression_turtle:Q8_0
  • Lemonade

    How to use GazTrab/depression_turtle with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull GazTrab/depression_turtle:Q8_0
    Run and chat with the model
    lemonade run user.depression_turtle-Q8_0
    List all available models
    lemonade list
depression_turtle
8.72 GB
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  • 1 contributor
History: 6 commits
GazTrab's picture
GazTrab
(Trained with Unsloth)
ed6fae4 verified almost 2 years ago
  • .gitattributes
    1.59 kB
    (Trained with Unsloth) almost 2 years ago
  • README.md
    596 Bytes
    Upload README.md with huggingface_hub almost 2 years ago
  • adapter_config.json
    743 Bytes
    Upload model trained with Unsloth almost 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload model trained with Unsloth almost 2 years ago
  • config.json
    29 Bytes
    (Trained with Unsloth) almost 2 years ago
  • depression_turtle-unsloth.Q8_0.gguf
    8.54 GB
    xet
    (Trained with Unsloth) almost 2 years ago
  • special_tokens_map.json
    102 Bytes
    Upload model trained with Unsloth almost 2 years ago
  • tokenizer.json
    9.09 MB
    Upload model trained with Unsloth almost 2 years ago
  • tokenizer_config.json
    50.8 kB
    Upload model trained with Unsloth almost 2 years ago