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Maelstrome
/
lora-wave-session

Text Generation
PEFT
Safetensors
English
gemma
gemma-4
lora
unsloth
clinical
wellness
structured-output
json
sft
trl
conversational
Model card Files Files and versions
xet
Community

Instructions to use Maelstrome/lora-wave-session with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Maelstrome/lora-wave-session with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-e2b-it-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "Maelstrome/lora-wave-session")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use Maelstrome/lora-wave-session 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 Maelstrome/lora-wave-session 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 Maelstrome/lora-wave-session to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Maelstrome/lora-wave-session to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Maelstrome/lora-wave-session",
        max_seq_length=2048,
    )
lora-wave-session
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Maelstrome's picture
Maelstrome
Add example prompts and demo Space link
a524731 verified about 8 hours ago
  • .gitattributes
    1.57 kB
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • README.md
    6.47 kB
    Add example prompts and demo Space link about 8 hours ago
  • adapter_config.json
    1.68 kB
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • adapter_model.safetensors
    101 MB
    xet
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • chat_template.jinja
    2.45 kB
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • processor_config.json
    1.76 kB
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • tokenizer.json
    32.2 MB
    xet
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • tokenizer_config.json
    7.15 kB
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago
  • training_args.bin
    5.78 kB
    xet
    Upload lora-wave-session adapter trained on Gemma 4 E2B about 9 hours ago