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Percep3
/
base-RaMem-LoRA

PEFT
Safetensors
Transformers
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llama-3
llama
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unsloth
deepsphere
deepsphereAI
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xet
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Instructions to use Percep3/base-RaMem-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Percep3/base-RaMem-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-1b-instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "Percep3/base-RaMem-LoRA")
  • Transformers

    How to use Percep3/base-RaMem-LoRA with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Percep3/base-RaMem-LoRA", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use Percep3/base-RaMem-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 Percep3/base-RaMem-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 Percep3/base-RaMem-LoRA to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Percep3/base-RaMem-LoRA to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Percep3/base-RaMem-LoRA",
        max_seq_length=2048,
    )
base-RaMem-LoRA
45.1 MB
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  • 1 contributor
History: 3 commits
nakato-nk's picture
nakato-nk
readme update
6b06a4f about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.71 kB
    readme update about 1 year ago
  • adapter_config.json
    809 Bytes
    Upload LoRA adapters about 1 year ago
  • adapter_model.safetensors
    45.1 MB
    xet
    Upload LoRA adapters about 1 year ago
  • special_tokens_map.json
    454 Bytes
    Upload LoRA adapters about 1 year ago